* installing *source* package 'CDatanet' ...
** this is package 'CDatanet' version '2.2.2'
** using staged installation
** libs
using C++ compiler: 'g++.exe (GCC) 14.3.0'
using C++17
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -DARMA_64BIT_WORD=1 -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppProgress/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppDist/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp    -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c RcppExports.cpp -o RcppExports.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:57,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo.h:32,
                 from RcppExports.cpp:4:
D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo_bits/config.hpp:373:72: note: '#pragma message: NOTE: option ARMA_CRIPPLED_LAPACK is not supported'
  373 |   #pragma message ("NOTE: option ARMA_CRIPPLED_LAPACK is not supported")
      |                                                                        ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:5:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from 'class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, 1> >'
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:70:74:   required from here
   70 |     Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type u(uSEXP);
      |                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from 'class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, 1> >'
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:70:74:   required from here
   70 |     Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type u(uSEXP);
      |                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from 'class Rcpp::ConstReferenceInputParameter<Eigen::Array<double, -1, 1> >'
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:150:85:   required from here
  150 |     Rcpp::traits::input_parameter< const Eigen::ArrayXd& >::type lambdat(lambdatSEXP);
      |                                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
   45 | class Array
      |       ^~~~~
RcppExports.cpp:154:50:   required from here
  154 |     rcpp_result_gen = Rcpp::wrap(fcddlambdatEigen(lambdat, nCa, a, b));
      |                                  ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:51:11:   required from 'class Rcpp::ReferenceInputParameter<Eigen::Matrix<double, -1, -1> >'
   51 |         T obj ;
      |           ^~~
RcppExports.cpp:292:72:   required from here
  292 |     Rcpp::traits::input_parameter< Eigen::MatrixXd& >::type Gye(GyeSEXP);
      |                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -DARMA_64BIT_WORD=1 -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppProgress/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppDist/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp    -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c auxfunc.cpp -o auxfunc.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:57,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo.h:32,
                 from auxfunc.cpp:2:
D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo_bits/config.hpp:373:72: note: '#pragma message: NOTE: option ARMA_CRIPPLED_LAPACK is not supported'
  373 |   #pragma message ("NOTE: option ARMA_CRIPPLED_LAPACK is not supported")
      |                                                                        ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from auxfunc.cpp:4:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
auxfunc.cpp:114:41:   required from here
  114 |     Eigen::MatrixXd outm(Eigen::MatrixXd::Zero(Nm, Nm));
      |                                         ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
auxfunc.cpp:114:41:   required from here
  114 |     Eigen::MatrixXd outm(Eigen::MatrixXd::Zero(Nm, Nm));
      |                                         ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
auxfunc.cpp:114:47:   required from here
  114 |     Eigen::MatrixXd outm(Eigen::MatrixXd::Zero(Nm, Nm));
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
auxfunc.cpp:115:15:   required from here
  115 |     outm.block(1, 0, n, 1)             = u.segment(r, n);
      |     ~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
auxfunc.cpp:115:43:   required from here
  115 |     outm.block(1, 0, n, 1)             = u.segment(r, n);
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
auxfunc.cpp:115:51:   required from here
  115 |     outm.block(1, 0, n, 1)             = u.segment(r, n);
      |                                          ~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
auxfunc.cpp:192:16:   required from here
  192 |     out.segment(r, n)                  = um.block(1, 0, n, 1);
      |     ~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
auxfunc.cpp:220:50:   required from here
  220 |     um                                 = um.array().ceil();
      |                                          ~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
auxfunc.cpp:220:57:   required from here
  220 |     um                                 = um.array().ceil();
      |                                          ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
auxfunc.cpp:115:56:   required from here
  115 |     outm.block(1, 0, n, 1)             = u.segment(r, n);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
auxfunc.cpp:115:56:   required from here
  115 |     outm.block(1, 0, n, 1)             = u.segment(r, n);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
auxfunc.cpp:192:61:   required from here
  192 |     out.segment(r, n)                  = um.block(1, 0, n, 1);
      |                                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -DARMA_64BIT_WORD=1 -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppProgress/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppDist/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp    -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c cdnet.cpp -o cdnet.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:57,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo.h:32,
                 from cdnet.cpp:35:
D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo_bits/config.hpp:373:72: note: '#pragma message: NOTE: option ARMA_CRIPPLED_LAPACK is not supported'
  373 |   #pragma message ("NOTE: option ARMA_CRIPPLED_LAPACK is not supported")
      |                                                                        ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/RcppNumerical.h:10,
                 from cdnet.cpp:37:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/Func.h:18:35:   required from here
   18 | typedef Eigen::Ref<Eigen::VectorXd>             Refvec;
      |                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/Func.h:18:35:   required from here
   18 | typedef Eigen::Ref<Eigen::VectorXd>             Refvec;
      |                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:636:45:   required from 'class Numer::Integrator<double>'
  636 |     Eigen::Array<Scalar, Eigen::Dynamic, 1> m_lowerList;
      |                                             ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:67:29:   required from here
   67 |     const Integrator<double>::QuadratureRule rule = Integrator<double>::GaussKronrod41
      |                             ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:188:50:   required from here
  188 |     const Eigen::Map<const Eigen::VectorXd> xval(x, *ndim);
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1> >'
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:189:26:   required from here
  189 |     *f = func->operator()(xval);
      |          ~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:205:27:   required from here
  205 |         scalefac((upper - lower).prod()),
      |                           ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:212:51:   required from here
  212 |         scalex.noalias() = lb + range.cwiseProduct(x);
      |                                 ~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:212:53:   required from here
  212 |         scalex.noalias() = lb + range.cwiseProduct(x);
      |                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, 1> >'
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:25:24:   required from here
   25 |         return f.f_grad(x, grad);
      |                ~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:36:12:   required from 'class LBFGSpp::BFGSMat<double, false>'
   36 |     Matrix m_s;      // History of the s vectors
      |            ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:30:21:   required from 'class LBFGSpp::LBFGSSolver<double>'
   30 |     BFGSMat<Scalar> m_bfgs;             // Approximation to the Hessian matrix
      |                     ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:50:46:   required from here
   50 |     LBFGSpp::LBFGSSolver<double> solver(param);
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
   45 | class Array
      |       ^~~~~
cdnet.cpp:96:49:   required from here
   96 |                                  const double& b){
      |                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
cdnet.cpp:97:48:   required from here
   97 |   Eigen::ArrayXXd out(Eigen::MatrixXd::Identity(nCa, nCa));
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
cdnet.cpp:98:10:   required from here
   98 |   out.row(nCa - 1).setZero();
      |   ~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
cdnet.cpp:142:44:   required from here
  142 |       l(nCa*(ca + 1) - 1) = sl - (l.segment(nCa*ca, nCa).head(nCa - 1)).sum();
      |                                   ~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
cdnet.cpp:142:62:   required from here
  142 |       l(nCa*(ca + 1) - 1) = sl - (l.segment(nCa*ca, nCa).head(nCa - 1)).sum();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
cdnet.cpp:205:43:   required from here
  205 |   Eigen::ArrayXd xmax(x.rowwise().maxCoeff());
      |                       ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:206:32:   required from here
  206 |   return xmax + (x.colwise() - xmax).exp().rowwise().sum().log();
      |                                ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:206:32:   required from here
  206 |   return xmax + (x.colwise() - xmax).exp().rowwise().sum().log();
      |                                ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:206:41:   required from here
  206 |   return xmax + (x.colwise() - xmax).exp().rowwise().sum().log();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
cdnet.cpp:206:57:   required from here
  206 |   return xmax + (x.colwise() - xmax).exp().rowwise().sum().log();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:206:63:   required from here
  206 |   return xmax + (x.colwise() - xmax).exp().rowwise().sum().log();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:206:64:   required from here
  206 |   return xmax + (x.colwise() - xmax).exp().rowwise().sum().log();
      |                                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::IndexedView<const Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::IndexedView<const Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::IndexedView<const Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from 'class Eigen::IndexedViewImpl<const Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange, Eigen::Dense>'
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from 'class Eigen::IndexedView<const Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange>'
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
cdnet.cpp:278:33:   required from here
  278 |     Eigen::ArrayXd ZtLs(ZtLambda(lCas));
      |                         ~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<flogLEigen(const Eigen::ArrayXd&, const std::vector<Eigen::Array<int, -1, 1> >&, const int&, const Eigen::ArrayXd&, const Eigen::ArrayXXi&, const Eigen::ArrayXi&, const double&, const Eigen::ArrayXi&, int)::<lambda(double)>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<flogLEigen(const Eigen::ArrayXd&, const std::vector<Eigen::Array<int, -1, 1> >&, const int&, const Eigen::ArrayXd&, const Eigen::ArrayXXi&, const Eigen::ArrayXi&, const double&, const Eigen::ArrayXi&, int)::<lambda(double)>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<flogLEigen(const Eigen::ArrayXd&, const std::vector<Eigen::Array<int, -1, 1> >&, const int&, const Eigen::ArrayXd&, const Eigen::ArrayXXi&, const Eigen::ArrayXi&, const double&, const Eigen::ArrayXi&, int)::<lambda(double)>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<flogLEigen(const Eigen::ArrayXd&, const std::vector<Eigen::Array<int, -1, 1> >&, const int&, const Eigen::ArrayXd&, const Eigen::ArrayXXi&, const Eigen::ArrayXi&, const double&, const Eigen::ArrayXi&, int)::<lambda(double)>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<flogLEigen(const Eigen::ArrayXd&, const std::vector<Eigen::Array<int, -1, 1> >&, const int&, const Eigen::ArrayXd&, const Eigen::ArrayXXi&, const Eigen::ArrayXi&, const double&, const Eigen::ArrayXi&, int)::<lambda(double)>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:279:38:   required from here
  279 |     Eigen::ArrayXd lF1(ZtLs.unaryExpr([](double v) {
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  280 |       return R::pnorm(v, 0.0, 1.0, 1, 1);;
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  281 |     }));
      |     ~~                                
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
cdnet.cpp:282:44:   required from here
  282 |     Eigen::ArrayXd lu2(Eigen::ArrayXd::Ones(n[ca]));
      |                        ~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:288:34:   required from here
  288 |       Eigen::ArrayXd lFr((ZtLs - ar).unaryExpr([](double v) {
      |                                  ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:288:34:   required from here
  288 |       Eigen::ArrayXd lFr((ZtLs - ar).unaryExpr([](double v) {
      |                                  ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<flogLEigen(const Eigen::ArrayXd&, const std::vector<Eigen::Array<int, -1, 1> >&, const int&, const Eigen::ArrayXd&, const Eigen::ArrayXXi&, const Eigen::ArrayXi&, const double&, const Eigen::ArrayXi&, int)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<flogLEigen(const Eigen::ArrayXd&, const std::vector<Eigen::Array<int, -1, 1> >&, const int&, const Eigen::ArrayXd&, const Eigen::ArrayXXi&, const Eigen::ArrayXi&, const double&, const Eigen::ArrayXi&, int)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<flogLEigen(const Eigen::ArrayXd&, const std::vector<Eigen::Array<int, -1, 1> >&, const int&, const Eigen::ArrayXd&, const Eigen::ArrayXXi&, const Eigen::ArrayXi&, const double&, const Eigen::ArrayXi&, int)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<flogLEigen(const Eigen::ArrayXd&, const std::vector<Eigen::Array<int, -1, 1> >&, const int&, const Eigen::ArrayXd&, const Eigen::ArrayXXi&, const Eigen::ArrayXi&, const double&, const Eigen::ArrayXi&, int)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<flogLEigen(const Eigen::ArrayXd&, const std::vector<Eigen::Array<int, -1, 1> >&, const int&, const Eigen::ArrayXd&, const Eigen::ArrayXXi&, const Eigen::ArrayXi&, const double&, const Eigen::ArrayXi&, int)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:288:47:   required from here
  288 |       Eigen::ArrayXd lFr((ZtLs - ar).unaryExpr([](double v) {
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  289 |         return R::pnorm(v, 0.0, 1.0, 1, 1);;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
  290 |       }));
      |       ~~                                       
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:291:21:   required from here
  291 |       lu2 += (lFr - lF1).exp();
      |                     ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:291:29:   required from here
  291 |       lu2 += (lFr - lF1).exp();
      |              ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from 'class Eigen::IndexedViewImpl<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange, Eigen::Dense>'
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from 'class Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange>'
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
cdnet.cpp:294:9:   required from here
  294 |     logL(lCas) = lF1 + lu2.log();
      |     ~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:294:31:   required from here
  294 |     logL(lCas) = lF1 + lu2.log();
      |                        ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:294:32:   required from here
  294 |     logL(lCas) = lF1 + lu2.log();
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:323:79:   required from here
  323 |   return (flogLEigen(ZtLambda, lCa, nCa, delta, idelta, Rbar, R, n, sumn)).exp();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
cdnet.cpp:411:31:   required from here
  411 |   Eigen::ArrayXd ZtLambda(Gye*lambda + psi);
      |                               ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:411:40:   required from here
  411 |   Eigen::ArrayXd ZtLambda(Gye*lambda + psi);
      |                                        ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:415:40:   required from here
  415 |   double dist    = (((yest - ye)/(ye + 1e-50)).abs()).maxCoeff();
      |                                        ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:415:45:   required from here
  415 |   double dist    = (((yest - ye)/(ye + 1e-50)).abs()).maxCoeff();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:415:51:   required from here
  415 |   double dist    = (((yest - ye)/(ye + 1e-50)).abs()).maxCoeff();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
cdnet.cpp:423:16:   required from here
  423 |       Gye.block(n1, cl, nm, 1) = G[m][cl] * ye.segment(n1, nm).matrix();
      |       ~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
cdnet.cpp:423:70:   required from here
  423 |       Gye.block(n1, cl, nm, 1) = G[m][cl] * ye.segment(n1, nm).matrix();
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
cdnet.cpp:423:71:   required from here
  423 |       Gye.block(n1, cl, nm, 1) = G[m][cl] * ye.segment(n1, nm).matrix();
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, 1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Array<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
cdnet.cpp:693:65:   required from here
  693 |       delta(Eigen::seq(idelta(ca, 0), idelta(ca, 1))) += (lambda(Eigen::seq(nCa*ca, nCa*(ca + 1) - 1))).sum();
      |                                                           ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
cdnet.cpp:1144:74:   required from here
 1144 |     grad             = -Eigen::Map<Eigen::VectorXd>(gdarm.memptr(), parms);
      |                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:1144:74:   required from here
 1144 |     grad             = -Eigen::Map<Eigen::VectorXd>(gdarm.memptr(), parms);
      |                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:1145:25:   required from here
 1145 |     Grad             = -grad;
      |                         ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
cdnet.cpp:1674:16:   required from here
 1674 |   simthetat.col(0) = THETAT;
      |   ~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
cdnet.cpp:1678:77:   required from here
 1678 |       Rmat.block(nCa*ca, nCa*ca, nCa, nCa) = fcddlambdatEigen(THETAT.segment(nCa*ca, nCa), nCa, lb_sl, ub_sl);
      |                                                               ~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
cdnet.cpp:1680:18:   required from here
 1680 |     Rmat.diagonal().tail(ndelta.sum()).array() = 1/THETAT.tail(ndelta.sum()).array().exp();
      |     ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
cdnet.cpp:1680:25:   required from here
 1680 |     Rmat.diagonal().tail(ndelta.sum()).array() = 1/THETAT.tail(ndelta.sum()).array().exp();
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
cdnet.cpp:1680:45:   required from here
 1680 |     Rmat.diagonal().tail(ndelta.sum()).array() = 1/THETAT.tail(ndelta.sum()).array().exp();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
cdnet.cpp:1680:83:   required from here
 1680 |     Rmat.diagonal().tail(ndelta.sum()).array() = 1/THETAT.tail(ndelta.sum()).array().exp();
      |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:1680:89:   required from here
 1680 |     Rmat.diagonal().tail(ndelta.sum()).array() = 1/THETAT.tail(ndelta.sum()).array().exp();
      |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1680:90:   required from here
 1680 |     Rmat.diagonal().tail(ndelta.sum()).array() = 1/THETAT.tail(ndelta.sum()).array().exp();
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
cdnet.cpp:1681:37:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                     ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
cdnet.cpp:1681:61:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                               ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
cdnet.cpp:1681:62:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
cdnet.cpp:1685:60:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                            ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
cdnet.cpp:1685:74:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
cdnet.cpp:1685:101:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                         ~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
cdnet.cpp:1698:54:   required from here
 1698 |     Eigen::VectorXd lambda(fcdlambdaEigen(thetat.head(nCl), nCa, lb_sl, ub_sl));
      |                                           ~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
cdnet.cpp:1700:59:   required from here
 1700 |     Eigen::VectorXd tdelta(thetat.tail(ndelta.sum()).array().exp());
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:1700:65:   required from here
 1700 |     Eigen::VectorXd tdelta(thetat.tail(ndelta.sum()).array().exp());
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1702:44:   required from here
 1702 |     Eigen::ArrayXd ZtLambda(Gye*lambda + X*beta);
      |                                            ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
cdnet.cpp:1721:49:   required from here
 1721 |         tp1(lCas) = -0.5 * (ZtLs - a(ca)).square() - log_sqrt_2pi;
      |                            ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1721:50:   required from here
 1721 |         tp1(lCas) = -0.5 * (ZtLs - a(ca)).square() - log_sqrt_2pi;
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1721:54:   required from here
 1721 |         tp1(lCas) = -0.5 * (ZtLs - a(ca)).square() - log_sqrt_2pi;
      |                                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
cdnet.cpp:1725:15:   required from here
 1725 |       lphi.col(it) = tp1;
      |       ~~~~~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
cdnet.cpp:1731:51:   required from here
 1731 |     Eigen::ArrayXd tp0((lsumexpEigen(lphi.leftCols(Rmax))).exp());
      |                                      ~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
cdnet.cpp:1734:48:   required from here
 1734 |     Eigen::ArrayXXd meff1(Eigen::ArrayXXd::Zero(sumn, nCl));
      |                           ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from 'class Eigen::IndexedViewImpl<Eigen::Array<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::Dense>'
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from 'class Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >'
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
cdnet.cpp:1738:12:   required from here
 1738 |       meff1(lCas, tp) = tp0(lCas).matrix()*lambda(tp).matrix().transpose();
      |       ~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
cdnet.cpp:1738:41:   required from here
 1738 |       meff1(lCas, tp) = tp0(lCas).matrix()*lambda(tp).matrix().transpose();
      |                         ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from 'class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange, Eigen::Dense>'
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from 'class Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange>'
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
cdnet.cpp:1738:50:   required from here
 1738 |       meff1(lCas, tp) = tp0(lCas).matrix()*lambda(tp).matrix().transpose();
      |                                            ~~~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
cdnet.cpp:1738:73:   required from here
 1738 |       meff1(lCas, tp) = tp0(lCas).matrix()*lambda(tp).matrix().transpose();
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
cdnet.cpp:1738:74:   required from here
 1738 |       meff1(lCas, tp) = tp0(lCas).matrix()*lambda(tp).matrix().transpose();
      |                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1745:49:   required from here
 1745 |       Lmeffdir.col(booti) = meff1.colwise().mean().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1745:49:   required from here
 1745 |       Lmeffdir.col(booti) = meff1.colwise().mean().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1745:49:   required from here
 1745 |       Lmeffdir.col(booti) = meff1.colwise().mean().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
cdnet.cpp:1745:61:   required from here
 1745 |       Lmeffdir.col(booti) = meff1.colwise().mean().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1753:48:   required from here
 1753 |         meff2dir.col(k) = tp0*beta(indexmarg(k));
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
cdnet.cpp:1756:35:   required from here
 1756 |         Xk.col(indexmarg(k)).array() = dis0(indexmarg(k));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
cdnet.cpp:1774:51:   required from here
 1774 |         Eigen::MatrixXd salG(Eigen::MatrixXd::Zero(nm, nm));
      |                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1776:40:   required from here
 1776 |           salG += (lambda(cl) * G[m][cl]);
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1776:40:   required from here
 1776 |           salG += (lambda(cl) * G[m][cl]);
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
cdnet.cpp:1781:26:   required from here
 1781 |               (salG.array().colwise() * tp0.segment(n1, nm)).matrix();
      |                ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1781:59:   required from here
 1781 |               (salG.array().colwise() * tp0.segment(n1, nm)).matrix();
      |                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1781:59:   required from here
 1781 |               (salG.array().colwise() * tp0.segment(n1, nm)).matrix();
      |                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
cdnet.cpp:1781:68:   required from here
 1781 |               (salG.array().colwise() * tp0.segment(n1, nm)).matrix();
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1781:69:   required from here
 1781 |               (salG.array().colwise() * tp0.segment(n1, nm)).matrix();
      |                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
cdnet.cpp:1787:31:   required from here
 1787 |             B.diagonal().array() += beta(indexX(k));
      |             ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
cdnet.cpp:1789:27:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19:   required from 'class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >'
  440 |     RowVectorType m_temp;
      |                   ^~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
cdnet.cpp:1789:75:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
cdnet.cpp:1789:85:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
cdnet.cpp:1789:101:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from 'class Eigen::IndexedViewImpl<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1>, Eigen::Dense>'
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from 'class Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> >'
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
cdnet.cpp:1827:49:   required from here
 1827 |     Eigen::ArrayXXd meff2idi(meff2tot - meff2dir(Eigen::all, indexinmarg));
      |                                         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
cdnet.cpp:1827:73:   required from here
 1827 |     Eigen::ArrayXXd meff2idi(meff2tot - meff2dir(Eigen::all, indexinmarg));
      |                                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Array<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Array<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
cdnet.cpp:1835:62:   required from here
 1835 |     return  List::create(Named("direct") = Lmeffdir.transpose());
      |                                            ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:106:27:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  106 |         m_drt.noalias() = -m_grad;
      |                           ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:159:32:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  159 |             vecs.noalias() = x - m_xp;
      |                              ~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 1, -1, 1, 1, -1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>; Scalar = double]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:101:25:   required from here
  101 |     out.row(nCa - 1) += tp1;
      |                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>; Scalar = double]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:101:25:   required from here
  101 |     out.row(nCa - 1) += tp1;
      |                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 8, 1, 0, 8, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:189:28:   required from 'class Numer::QuadratureKronrod<double>'
  189 | Eigen::Array<Scalar, 8, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod15 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 8, 1, 0, 8, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 8, 1, 0, 8, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 8, 1, 0, 8, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:189:28:   required from 'class Numer::QuadratureKronrod<double>'
  189 | Eigen::Array<Scalar, 8, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod15 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 4, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 4, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:215:28:   required from 'class Numer::QuadratureKronrod<double>'
  215 | Eigen::Array<Scalar, 4, 1> QuadratureKronrod<Scalar>::abscissaeGauss15 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 11>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 11, 1, 0, 11, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 11, 1, 0, 11, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:235:29:   required from 'class Numer::QuadratureKronrod<double>'
  235 | Eigen::Array<Scalar, 11, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod21 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 11, 1, 0, 11, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 11, 1, 0, 11, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 11, 1, 0, 11, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 11, 1, 0, 11, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:235:29:   required from 'class Numer::QuadratureKronrod<double>'
  235 | Eigen::Array<Scalar, 11, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod21 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 5>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 5, 1, 0, 5, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 5, 1, 0, 5, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:267:28:   required from 'class Numer::QuadratureKronrod<double>'
  267 | Eigen::Array<Scalar, 5, 1> QuadratureKronrod<Scalar>::abscissaeGauss21 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 5, 1, 0, 5, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 5, 1, 0, 5, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 5, 1, 0, 5, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 5, 1, 0, 5, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:267:28:   required from 'class Numer::QuadratureKronrod<double>'
  267 | Eigen::Array<Scalar, 5, 1> QuadratureKronrod<Scalar>::abscissaeGauss21 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 16, 1, 0, 16, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 16, 1, 0, 16, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:289:29:   required from 'class Numer::QuadratureKronrod<double>'
  289 | Eigen::Array<Scalar, 16, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod31 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 16, 1, 0, 16, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 16, 1, 0, 16, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 16, 1, 0, 16, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 16, 1, 0, 16, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:289:29:   required from 'class Numer::QuadratureKronrod<double>'
  289 | Eigen::Array<Scalar, 16, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod31 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 21>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 21, 1, 0, 21, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 21, 1, 0, 21, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:359:29:   required from 'class Numer::QuadratureKronrod<double>'
  359 | Eigen::Array<Scalar, 21, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 21, 1, 0, 21, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 21, 1, 0, 21, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 21, 1, 0, 21, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 21, 1, 0, 21, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:359:29:   required from 'class Numer::QuadratureKronrod<double>'
  359 | Eigen::Array<Scalar, 21, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 10, 1, 0, 10, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:411:29:   required from 'class Numer::QuadratureKronrod<double>'
  411 | Eigen::Array<Scalar, 10, 1> QuadratureKronrod<Scalar>::abscissaeGauss41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 10, 1, 0, 10, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 10, 1, 0, 10, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 10, 1, 0, 10, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:411:29:   required from 'class Numer::QuadratureKronrod<double>'
  411 | Eigen::Array<Scalar, 10, 1> QuadratureKronrod<Scalar>::abscissaeGauss41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 26>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 26, 1, 0, 26, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 26, 1, 0, 26, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:443:29:   required from 'class Numer::QuadratureKronrod<double>'
  443 | Eigen::Array<Scalar, 26, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 26, 1, 0, 26, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 26, 1, 0, 26, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 26, 1, 0, 26, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 26, 1, 0, 26, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:443:29:   required from 'class Numer::QuadratureKronrod<double>'
  443 | Eigen::Array<Scalar, 26, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 13>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 13, 1, 0, 13, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 13, 1, 0, 13, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:505:29:   required from 'class Numer::QuadratureKronrod<double>'
  505 | Eigen::Array<Scalar, 13, 1> QuadratureKronrod<Scalar>::abscissaeGauss51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 13, 1, 0, 13, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 13, 1, 0, 13, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 13, 1, 0, 13, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 13, 1, 0, 13, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:505:29:   required from 'class Numer::QuadratureKronrod<double>'
  505 | Eigen::Array<Scalar, 13, 1> QuadratureKronrod<Scalar>::abscissaeGauss51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 31>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 31, 1, 0, 31, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 31, 1, 0, 31, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:543:29:   required from 'class Numer::QuadratureKronrod<double>'
  543 | Eigen::Array<Scalar, 31, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 31, 1, 0, 31, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 31, 1, 0, 31, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 31, 1, 0, 31, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 31, 1, 0, 31, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:543:29:   required from 'class Numer::QuadratureKronrod<double>'
  543 | Eigen::Array<Scalar, 31, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 15>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 15, 1, 0, 15, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 15, 1, 0, 15, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:615:29:   required from 'class Numer::QuadratureKronrod<double>'
  615 | Eigen::Array<Scalar, 15, 1> QuadratureKronrod<Scalar>::abscissaeGauss61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 15, 1, 0, 15, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 15, 1, 0, 15, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 15, 1, 0, 15, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 15, 1, 0, 15, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:615:29:   required from 'class Numer::QuadratureKronrod<double>'
  615 | Eigen::Array<Scalar, 15, 1> QuadratureKronrod<Scalar>::abscissaeGauss61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 36>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 36, 1, 0, 36, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 36, 1, 0, 36, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:657:29:   required from 'class Numer::QuadratureKronrod<double>'
  657 | Eigen::Array<Scalar, 36, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 36, 1, 0, 36, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 36, 1, 0, 36, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 36, 1, 0, 36, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 36, 1, 0, 36, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:657:29:   required from 'class Numer::QuadratureKronrod<double>'
  657 | Eigen::Array<Scalar, 36, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 18>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 18, 1, 0, 18, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 18, 1, 0, 18, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:739:29:   required from 'class Numer::QuadratureKronrod<double>'
  739 | Eigen::Array<Scalar, 18, 1> QuadratureKronrod<Scalar>::abscissaeGauss71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 18, 1, 0, 18, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 18, 1, 0, 18, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 18, 1, 0, 18, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 18, 1, 0, 18, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:739:29:   required from 'class Numer::QuadratureKronrod<double>'
  739 | Eigen::Array<Scalar, 18, 1> QuadratureKronrod<Scalar>::abscissaeGauss71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 41>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 41, 1, 0, 41, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 41, 1, 0, 41, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:787:29:   required from 'class Numer::QuadratureKronrod<double>'
  787 | Eigen::Array<Scalar, 41, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 41, 1, 0, 41, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 41, 1, 0, 41, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 41, 1, 0, 41, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 41, 1, 0, 41, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:787:29:   required from 'class Numer::QuadratureKronrod<double>'
  787 | Eigen::Array<Scalar, 41, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 20>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 20, 1, 0, 20, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 20, 1, 0, 20, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:879:29:   required from 'class Numer::QuadratureKronrod<double>'
  879 | Eigen::Array<Scalar, 20, 1> QuadratureKronrod<Scalar>::abscissaeGauss81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 20, 1, 0, 20, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 20, 1, 0, 20, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 20, 1, 0, 20, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 20, 1, 0, 20, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:879:29:   required from 'class Numer::QuadratureKronrod<double>'
  879 | Eigen::Array<Scalar, 20, 1> QuadratureKronrod<Scalar>::abscissaeGauss81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 46>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 46, 1, 0, 46, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 46, 1, 0, 46, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:931:29:   required from 'class Numer::QuadratureKronrod<double>'
  931 | Eigen::Array<Scalar, 46, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 46, 1, 0, 46, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 46, 1, 0, 46, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 46, 1, 0, 46, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 46, 1, 0, 46, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:931:29:   required from 'class Numer::QuadratureKronrod<double>'
  931 | Eigen::Array<Scalar, 46, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 23>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 23, 1, 0, 23, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 23, 1, 0, 23, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1033:29:   required from 'class Numer::QuadratureKronrod<double>'
 1033 | Eigen::Array<Scalar, 23, 1> QuadratureKronrod<Scalar>::abscissaeGauss91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 23, 1, 0, 23, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 23, 1, 0, 23, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 23, 1, 0, 23, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 23, 1, 0, 23, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1033:29:   required from 'class Numer::QuadratureKronrod<double>'
 1033 | Eigen::Array<Scalar, 23, 1> QuadratureKronrod<Scalar>::abscissaeGauss91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 51>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 51, 1, 0, 51, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 51, 1, 0, 51, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1091:29:   required from 'class Numer::QuadratureKronrod<double>'
 1091 | Eigen::Array<Scalar, 51, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 51, 1, 0, 51, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 51, 1, 0, 51, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 51, 1, 0, 51, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 51, 1, 0, 51, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1091:29:   required from 'class Numer::QuadratureKronrod<double>'
 1091 | Eigen::Array<Scalar, 51, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 25>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 25, 1, 0, 25, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 25, 1, 0, 25, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1203:29:   required from 'class Numer::QuadratureKronrod<double>'
 1203 | Eigen::Array<Scalar, 25, 1> QuadratureKronrod<Scalar>::abscissaeGauss101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 25, 1, 0, 25, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 25, 1, 0, 25, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 25, 1, 0, 25, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 25, 1, 0, 25, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1203:29:   required from 'class Numer::QuadratureKronrod<double>'
 1203 | Eigen::Array<Scalar, 25, 1> QuadratureKronrod<Scalar>::abscissaeGauss101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 61>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 61, 1, 0, 61, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 61, 1, 0, 61, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1265:29:   required from 'class Numer::QuadratureKronrod<double>'
 1265 | Eigen::Array<Scalar, 61, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 61, 1, 0, 61, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 61, 1, 0, 61, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 61, 1, 0, 61, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 61, 1, 0, 61, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1265:29:   required from 'class Numer::QuadratureKronrod<double>'
 1265 | Eigen::Array<Scalar, 61, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 30, 1, 0, 30, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 30, 1, 0, 30, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1397:29:   required from 'class Numer::QuadratureKronrod<double>'
 1397 | Eigen::Array<Scalar, 30, 1> QuadratureKronrod<Scalar>::abscissaeGauss121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 30, 1, 0, 30, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 30, 1, 0, 30, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 30, 1, 0, 30, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 30, 1, 0, 30, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1397:29:   required from 'class Numer::QuadratureKronrod<double>'
 1397 | Eigen::Array<Scalar, 30, 1> QuadratureKronrod<Scalar>::abscissaeGauss121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 101>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 101, 1, 0, 101, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 101, 1, 0, 101, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1469:30:   required from 'class Numer::QuadratureKronrod<double>'
 1469 | Eigen::Array<Scalar, 101, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod201 =
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 101, 1, 0, 101, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 101, 1, 0, 101, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 101, 1, 0, 101, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 101, 1, 0, 101, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1469:30:   required from 'class Numer::QuadratureKronrod<double>'
 1469 | Eigen::Array<Scalar, 101, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod201 =
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 50>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 50, 1, 0, 50, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 50, 1, 0, 50, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1681:29:   required from 'class Numer::QuadratureKronrod<double>'
 1681 | Eigen::Array<Scalar, 50, 1> QuadratureKronrod<Scalar>::abscissaeGauss201 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 50, 1, 0, 50, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 50, 1, 0, 50, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 50, 1, 0, 50, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 50, 1, 0, 50, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1681:29:   required from 'class Numer::QuadratureKronrod<double>'
 1681 | Eigen::Array<Scalar, 50, 1> QuadratureKronrod<Scalar>::abscissaeGauss201 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:497:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::prod() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  497 |   return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:205:38:   required from here
  205 |         scalefac((upper - lower).prod()),
      |                  ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:37:   required from 'static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]'
  143 |             x.noalias() = xp + step * drt;
      |                                ~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:127:43:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  127 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:37:   required from 'static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]'
  143 |             x.noalias() = xp + step * drt;
      |                                ~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:127:43:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  127 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:30:   required from 'static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]'
  143 |             x.noalias() = xp + step * drt;
      |                           ~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:127:43:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  127 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:161:56:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  161 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
      |                                        ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:37:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                         ~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:56:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:59:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:110:82:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  110 |             m_permMinv.block(m_m + loc, m_m, 1, m_ncorr).noalias() = Ss.transpose();
      |                                                                      ~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:163:41:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  163 |             res.noalias() -= m_alpha[j] * m_y.col(j);
      |                              ~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:142:76:   required from here
  142 |       l(nCa*(ca + 1) - 1) = sl - (l.segment(nCa*ca, nCa).head(nCa - 1)).sum();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:142:76:   required from here
  142 |       l(nCa*(ca + 1) - 1) = sl - (l.segment(nCa*ca, nCa).head(nCa - 1)).sum();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:693:108:   required from here
  693 |       delta(Eigen::seq(idelta(ca, 0), idelta(ca, 1))) += (lambda(Eigen::seq(nCa*ca, nCa*(ca + 1) - 1))).sum();
      |                                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:43:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:91:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 7>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 7, 1, 0, 7, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 7, 1, 0, 7, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 7, 1, 0, 7, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 7, 1, 0, 7, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 8, 1, 0, 8, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 11, 1, 0, 11, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 16, 1, 0, 16, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 21, 1, 0, 21, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 26, 1, 0, 26, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 31, 1, 0, 31, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 71>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 71, 1, 0, 71, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 71, 1, 0, 71, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 71, 1, 0, 71, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 71, 1, 0, 71, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 71, 1, 0, 71, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 71, 1, 0, 71, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 35>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 35, 1, 0, 35, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 35, 1, 0, 35, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 35, 1, 0, 35, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 35, 1, 0, 35, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 36, 1, 0, 36, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 81>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 81, 1, 0, 81, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 81, 1, 0, 81, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 81, 1, 0, 81, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 81, 1, 0, 81, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 81, 1, 0, 81, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 81, 1, 0, 81, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 40>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 40, 1, 0, 40, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 40, 1, 0, 40, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 40, 1, 0, 40, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 40, 1, 0, 40, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 41, 1, 0, 41, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 91>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 91, 1, 0, 91, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 91, 1, 0, 91, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 91, 1, 0, 91, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 91, 1, 0, 91, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 91, 1, 0, 91, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 91, 1, 0, 91, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 45>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 45, 1, 0, 45, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 45, 1, 0, 45, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 45, 1, 0, 45, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 45, 1, 0, 45, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 46, 1, 0, 46, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 51, 1, 0, 51, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 121>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 121, 1, 0, 121, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 121, 1, 0, 121, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 121, 1, 0, 121, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 121, 1, 0, 121, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 121, 1, 0, 121, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 121, 1, 0, 121, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 60>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 60, 1, 0, 60, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 60, 1, 0, 60, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 60, 1, 0, 60, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 60, 1, 0, 60, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 61, 1, 0, 61, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 201>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 201, 1, 0, 201, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 201, 1, 0, 201, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 201, 1, 0, 201, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 201, 1, 0, 201, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 201, 1, 0, 201, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 201, 1, 0, 201, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 100>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 100, 1, 0, 100, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 100, 1, 0, 100, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 100, 1, 0, 100, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 100, 1, 0, 100, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 101, 1, 0, 101, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:123:35:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  123 |             Scalar dg = m_grad.dot(m_drt);
      |                         ~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   90 |         m_theta = m_y.col(loc).squaredNorm() / ys;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:167:13:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  167 |         res /= m_theta;
      |         ~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_product_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:497:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::prod() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  497 |   return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:205:38:   required from here
  205 |         scalefac((upper - lower).prod()),
      |                  ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:54:20:   required from here
   54 |     xx.noalias() = x;
      |                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:87:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   87 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
      |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:91:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  333 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
      |                                                                                     ~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:83:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  333 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
      |                                                                   ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:361:50:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  361 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 2> X(ldim, 2);
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:14:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |         ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:33:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |                              ~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:39:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |                              ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:81:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |                                                                    ~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:92:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |                                                                    ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:103:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |                                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:162:40:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
      |                          ~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:142:76:   required from here
  142 |       l(nCa*(ca + 1) - 1) = sl - (l.segment(nCa*ca, nCa).head(nCa - 1)).sum();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:693:108:   required from here
  693 |       delta(Eigen::seq(idelta(ca, 0), idelta(ca, 1))) += (lambda(Eigen::seq(nCa*ca, nCa*(ca + 1) - 1))).sum();
      |                                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 1, -1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  521 |     RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   90 |         m_theta = m_y.col(loc).squaredNorm() / ys;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; Functor = add_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:28:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>; Scalar = double]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:101:25:   required from here
  101 |     out.row(nCa - 1) += tp1;
      |                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array<double, -1, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
cdnet.cpp:292:29:   required from here
  292 |       next = (((lFr.maxCoeff() > -1000) || (r <= Rbar(ca))) && (r < R));
      |                 ~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
cdnet.cpp:415:63:   required from here
  415 |   double dist    = (((yest - ye)/(ye + 1e-50)).abs()).maxCoeff();
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  323 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
      |                                   ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                               ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                         ~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  323 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
      |                                   ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:324:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  324 |       Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
      |                                   ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  325 |       Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                               ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                         ~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   45 |   VectorBlock<Derived, internal::decrement_size<Base::SizeAtCompileTime>::ret> essentialPart(derived(), 1, size()-1);
      |                                                                                ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  127 |     Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
      |                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:161:56:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  161 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
      |                                        ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:110:68:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  110 |             m_permMinv.block(m_m + loc, m_m, 1, m_ncorr).noalias() = Ss.transpose();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]'
  288 |       : Base(other.derived())
      |                             ^
cdnet.cpp:1678:62:   required from here
 1678 |       Rmat.block(nCa*ca, nCa*ca, nCa, nCa) = fcddlambdatEigen(THETAT.segment(nCa*ca, nCa), nCa, lb_sl, ub_sl);
      |                                              ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >; Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1680:90:   required from here
 1680 |     Rmat.diagonal().tail(ndelta.sum()).array() = 1/THETAT.tail(ndelta.sum()).array().exp();
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  328 |       if (k>0) x -= A10.squaredNorm();
      |                     ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  328 |       if (k>0) x -= A10.squaredNorm();
      |                     ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]'
  288 |       : Base(other.derived())
      |                             ^
cdnet.cpp:1698:42:   required from here
 1698 |     Eigen::VectorXd lambda(fcdlambdaEigen(thetat.head(nCl), nCa, lb_sl, ub_sl));
      |                            ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<double, -1, 1>; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Array<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Array<double, -1, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Array<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Array<double, -1, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1725:22:   required from here
 1725 |       lphi.col(it) = tp1;
      |                      ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, -1>; SrcXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, -1>; SrcXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, -1>; Src = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true>; Derived = Eigen::Array<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true>; Derived = Eigen::Array<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, -1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]'
  288 |       : Base(other.derived())
      |                             ^
cdnet.cpp:1731:37:   required from here
 1731 |     Eigen::ArrayXd tp0((lsumexpEigen(lphi.leftCols(Rmax))).exp());
      |                         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  567 |           m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:123:35:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  123 |             Scalar dg = m_grad.dot(m_drt);
      |                         ~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   90 |         m_theta = m_y.col(loc).squaredNorm() / ys;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  217 |       SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
      |                                                        ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  231 |     gebp_kernel<Scalar, Scalar, Index, LhsMapper, Traits::mr, Traits::nr, false, Conjugate> gebp_kernel;
      |                                                                                             ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  231 |     gebp_kernel<Scalar, Scalar, Index, LhsMapper, Traits::mr, Traits::nr, false, Conjugate> gebp_kernel;
      |                                                                                             ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  232 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                          ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, true>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  233 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
      |                                                                                     ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]'
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  374 |   this->visit(maxVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  501 |       return maxCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  521 |     RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:87:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   87 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
      |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:64:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  333 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:28:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:64:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:162:40:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
      |                          ~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  328 |       if (k>0) x -= A10.squaredNorm();
      |                     ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  289 |               gebp_kernel(lhs.getSubMapper(i2,absolute_j2),
      |               ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  290 |                           blockA, blockB+j2*actual_kc,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  291 |                           actual_mc, panelLength, actualPanelWidth,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  292 |                           Scalar(-1),
      |                           ~~~~~~~~~~~
  293 |                           actual_kc, actual_kc, // strides
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  294 |                           panelOffset, panelOffset); // offsets
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  319 |             pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  320 |                            actualPanelWidth, actual_mc,
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  321 |                            actual_kc, j2);
      |                            ~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  365 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  365 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, 2, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; OtherDerived = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:205:45:   required from here
  205 |   Eigen::ArrayXd xmax(x.rowwise().maxCoeff());
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::Array<double, -1, -1>; MemberOp = Eigen::internal::member_maxCoeff<double, double>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Array<double, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from 'static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Array<double, -1, 1> >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1> >, Eigen::internal::assign_op<double, double>, 0>]'
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, member_maxCoeff<double, double>, 1>; Functor = assign_op<double, double>]'
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; OtherDerived = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:205:45:   required from here
  205 |   Eigen::ArrayXd xmax(x.rowwise().maxCoeff());
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  511 |   RealScalar threshold_helper =  numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows);
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; OtherDerived = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:205:45:   required from here
  205 |   Eigen::ArrayXd xmax(x.rowwise().maxCoeff());
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  333 |       if (rs>0) A21 /= x;
      |                 ~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  333 |       if (rs>0) A21 /= x;
      |                 ~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  365 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from 'static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Array<double, -1, 1>; OtherXpr = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ProductType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::add_assign_op<double, double>]'
  223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1702:48:   required from here
 1702 |     Eigen::ArrayXd ZtLambda(Gye*lambda + X*beta);
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from 'static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Array<double, -1, 1>; OtherXpr = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ProductType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::add_assign_op<double, double>]'
  223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1702:48:   required from here
 1702 |     Eigen::ArrayXd ZtLambda(Gye*lambda + X*beta);
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, SingleRange> >; Rhs = Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, SingleRange> >; Func = generic_product_impl<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, SingleRange> >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]'
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 0>; OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, SingleRange> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, SingleRange> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::IndexedView<Eigen::Array<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, Eigen::Array<int, -1, 1>, Eigen::internal::SingleRange> >, 0>; Derived = Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1738:74:   required from here
 1738 |       meff1(lCas, tp) = tp0(lCas).matrix()*lambda(tp).matrix().transpose();
      |                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  567 |           m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 1, -1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, member_sum<double, double>, 1> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >; Derived = Eigen::Array<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]'
  288 |       : Base(other.derived())
      |                             ^
cdnet.cpp:206:15:   required from here
  206 |   return xmax + (x.colwise() - xmax).exp().rowwise().sum().log();
      |          ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:423:71:   required from here
  423 |       Gye.block(n1, cl, nm, 1) = G[m][cl] * ye.segment(n1, nm).matrix();
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from 'static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Array<double, -1, 1>; OtherXpr = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ProductType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::add_assign_op<double, double>]'
  223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1702:48:   required from here
 1702 |     Eigen::ArrayXd ZtLambda(Gye*lambda + X*beta);
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1745:62:   required from here
 1745 |       Lmeffdir.col(booti) = meff1.colwise().mean().transpose();
      |                                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from 'static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Array<double, -1, 1>; OtherXpr = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ProductType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::add_assign_op<double, double>]'
  223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1702:48:   required from here
 1702 |     Eigen::ArrayXd ZtLambda(Gye*lambda + X*beta);
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from 'static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Array<double, -1, 1>; OtherXpr = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ProductType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::add_assign_op<double, double>]'
  223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1702:48:   required from here
 1702 |     Eigen::ArrayXd ZtLambda(Gye*lambda + X*beta);
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:423:71:   required from here
  423 |       Gye.block(n1, cl, nm, 1) = G[m][cl] * ye.segment(n1, nm).matrix();
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1, 1, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1, 1, -1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1, 1, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/vector/Vector.h:523:46:   required from 'static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element__dispatch(Rcpp::traits::true_type, iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Transpose<Eigen::Array<double, -1, -1> > >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long long int]'
  523 |         replace_element__dispatch__isArgument( typename traits::same_type<U,Argument>(), it, names, index, u ) ;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from 'static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Transpose<Eigen::Array<double, -1, -1> > >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long long int]'
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/vector/Vector.h:1164:24:   required from 'static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&) [with T = Rcpp::traits::named_object<Eigen::Transpose<Eigen::Array<double, -1, -1> > >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]'
 1164 |         replace_element(it, names, index, t);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from 'static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Transpose<Eigen::Array<double, -1, -1, 0, -1, -1> > >}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]'
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from 'static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Transpose<Eigen::Array<double, -1, -1, 0, -1, -1> > >}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]'
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
cdnet.cpp:1835:25:   required from here
 1835 |     return  List::create(Named("direct") = Lmeffdir.transpose());
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from 'ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; ResultType = double; Scalar = double]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; OtherDerived = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr<const Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:205:45:   required from here
  205 |   Eigen::ArrayXd xmax(x.rowwise().maxCoeff());
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 1, -1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 1, -1, false>; ResultType = double; Scalar = double]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:589:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, member_sum<double, double>, 1> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >; Derived = Eigen::Array<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, Eigen::internal::member_sum<double, double>, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]'
  288 |       : Base(other.derived())
      |                             ^
cdnet.cpp:206:15:   required from here
  206 |   return xmax + (x.colwise() - xmax).exp().rowwise().sum().log();
      |          ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29:   required from 'static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Array<double, -1, 1>; OtherXpr = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ProductType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::add_assign_op<double, double>]'
  223 |     call_assignment_no_alias(dst, src.lhs(), Func1());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1702:48:   required from here
 1702 |     Eigen::ArrayXd ZtLambda(Gye*lambda + X*beta);
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Array<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1745:62:   required from here
 1745 |       Lmeffdir.col(booti) = meff1.colwise().mean().transpose();
      |                                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
  104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
  141 |     return func(0,rows, 0,cols);
      |            ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:423:71:   required from here
  423 |       Gye.block(n1, cl, nm, 1) = G[m][cl] * ye.segment(n1, nm).matrix();
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
cdnet.cpp:1684:45:   required from here
 1684 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Array<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1745:62:   required from here
 1745 |       Lmeffdir.col(booti) = meff1.colwise().mean().transpose();
      |                                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1806:87:   required from here
 1806 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:67:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
cdnet.cpp:1681:63:   required from here
 1681 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
  155 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:603:20:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, -1>; DstType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  601 |   m_qr.topLeftCorner(nonzero_pivots, nonzero_pivots)
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  602 |       .template triangularView<Upper>()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  603 |       .solveInPlace(c.topRows(nonzero_pivots));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:127:28:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1685:102:   required from here
 1685 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]'
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 42 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
cdnet.cpp:1789:102:   required from here
 1789 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:341:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type 'const double*' to 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]' declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -DARMA_64BIT_WORD=1 -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppProgress/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppDist/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp    -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c homophily.cpp -o homophily.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:57,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo.h:32,
                 from homophily.cpp:3:
D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo_bits/config.hpp:373:72: note: '#pragma message: NOTE: option ARMA_CRIPPLED_LAPACK is not supported'
  373 |   #pragma message ("NOTE: option ARMA_CRIPPLED_LAPACK is not supported")
      |                                                                        ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from homophily.cpp:9:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/Func.h:18:35:   required from here
   18 | typedef Eigen::Ref<Eigen::VectorXd>             Refvec;
      |                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/Func.h:18:35:   required from here
   18 | typedef Eigen::Ref<Eigen::VectorXd>             Refvec;
      |                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:636:45:   required from 'class Numer::Integrator<double>'
  636 |     Eigen::Array<Scalar, Eigen::Dynamic, 1> m_lowerList;
      |                                             ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:67:29:   required from here
   67 |     const Integrator<double>::QuadratureRule rule = Integrator<double>::GaussKronrod41
      |                             ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:188:50:   required from here
  188 |     const Eigen::Map<const Eigen::VectorXd> xval(x, *ndim);
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1> >'
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:189:26:   required from here
  189 |     *f = func->operator()(xval);
      |          ~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:205:27:   required from here
  205 |         scalefac((upper - lower).prod()),
      |                           ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:212:51:   required from here
  212 |         scalex.noalias() = lb + range.cwiseProduct(x);
      |                                 ~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:212:53:   required from here
  212 |         scalex.noalias() = lb + range.cwiseProduct(x);
      |                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, 1> >'
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:25:24:   required from here
   25 |         return f.f_grad(x, grad);
      |                ~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:36:12:   required from 'class LBFGSpp::BFGSMat<double, false>'
   36 |     Matrix m_s;      // History of the s vectors
      |            ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:30:21:   required from 'class LBFGSpp::LBFGSSolver<double>'
   30 |     BFGSMat<Scalar> m_bfgs;             // Approximation to the Hessian matrix
      |                     ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:50:46:   required from here
   50 |     LBFGSpp::LBFGSSolver<double> solver(param);
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
homophily.cpp:213:16:   required from here
  213 |     out.segment(r, n)  = um.block(1, 0, n, 1);
      |     ~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
homophily.cpp:213:34:   required from here
  213 |     out.segment(r, n)  = um.block(1, 0, n, 1);
      |                          ~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
homophily.cpp:1029:78:   required from here
 1029 |     grad                   = -Eigen::Map<Eigen::VectorXd>(gd.memptr(), nparms);
      |                                                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
homophily.cpp:1029:78:   required from here
 1029 |     grad                   = -Eigen::Map<Eigen::VectorXd>(gd.memptr(), nparms);
      |                                                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:106:27:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  106 |         m_drt.noalias() = -m_grad;
      |                           ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:159:32:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  159 |             vecs.noalias() = x - m_xp;
      |                              ~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 8, 1, 0, 8, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:189:28:   required from 'class Numer::QuadratureKronrod<double>'
  189 | Eigen::Array<Scalar, 8, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod15 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 8, 1, 0, 8, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 8, 1, 0, 8, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 8, 1, 0, 8, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:189:28:   required from 'class Numer::QuadratureKronrod<double>'
  189 | Eigen::Array<Scalar, 8, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod15 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 4, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 4, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:215:28:   required from 'class Numer::QuadratureKronrod<double>'
  215 | Eigen::Array<Scalar, 4, 1> QuadratureKronrod<Scalar>::abscissaeGauss15 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 11>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 11, 1, 0, 11, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 11, 1, 0, 11, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:235:29:   required from 'class Numer::QuadratureKronrod<double>'
  235 | Eigen::Array<Scalar, 11, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod21 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 11, 1, 0, 11, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 11, 1, 0, 11, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 11, 1, 0, 11, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 11, 1, 0, 11, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:235:29:   required from 'class Numer::QuadratureKronrod<double>'
  235 | Eigen::Array<Scalar, 11, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod21 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 5>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 5, 1, 0, 5, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 5, 1, 0, 5, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:267:28:   required from 'class Numer::QuadratureKronrod<double>'
  267 | Eigen::Array<Scalar, 5, 1> QuadratureKronrod<Scalar>::abscissaeGauss21 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 5, 1, 0, 5, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 5, 1, 0, 5, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 5, 1, 0, 5, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 5, 1, 0, 5, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:267:28:   required from 'class Numer::QuadratureKronrod<double>'
  267 | Eigen::Array<Scalar, 5, 1> QuadratureKronrod<Scalar>::abscissaeGauss21 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 16, 1, 0, 16, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 16, 1, 0, 16, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:289:29:   required from 'class Numer::QuadratureKronrod<double>'
  289 | Eigen::Array<Scalar, 16, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod31 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 16, 1, 0, 16, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 16, 1, 0, 16, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 16, 1, 0, 16, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 16, 1, 0, 16, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:289:29:   required from 'class Numer::QuadratureKronrod<double>'
  289 | Eigen::Array<Scalar, 16, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod31 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 21>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 21, 1, 0, 21, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 21, 1, 0, 21, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:359:29:   required from 'class Numer::QuadratureKronrod<double>'
  359 | Eigen::Array<Scalar, 21, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 21, 1, 0, 21, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 21, 1, 0, 21, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 21, 1, 0, 21, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 21, 1, 0, 21, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:359:29:   required from 'class Numer::QuadratureKronrod<double>'
  359 | Eigen::Array<Scalar, 21, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 10, 1, 0, 10, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:411:29:   required from 'class Numer::QuadratureKronrod<double>'
  411 | Eigen::Array<Scalar, 10, 1> QuadratureKronrod<Scalar>::abscissaeGauss41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 10, 1, 0, 10, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 10, 1, 0, 10, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 10, 1, 0, 10, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:411:29:   required from 'class Numer::QuadratureKronrod<double>'
  411 | Eigen::Array<Scalar, 10, 1> QuadratureKronrod<Scalar>::abscissaeGauss41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 26>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 26, 1, 0, 26, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 26, 1, 0, 26, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:443:29:   required from 'class Numer::QuadratureKronrod<double>'
  443 | Eigen::Array<Scalar, 26, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 26, 1, 0, 26, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 26, 1, 0, 26, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 26, 1, 0, 26, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 26, 1, 0, 26, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:443:29:   required from 'class Numer::QuadratureKronrod<double>'
  443 | Eigen::Array<Scalar, 26, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 13>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 13, 1, 0, 13, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 13, 1, 0, 13, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:505:29:   required from 'class Numer::QuadratureKronrod<double>'
  505 | Eigen::Array<Scalar, 13, 1> QuadratureKronrod<Scalar>::abscissaeGauss51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 13, 1, 0, 13, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 13, 1, 0, 13, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 13, 1, 0, 13, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 13, 1, 0, 13, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:505:29:   required from 'class Numer::QuadratureKronrod<double>'
  505 | Eigen::Array<Scalar, 13, 1> QuadratureKronrod<Scalar>::abscissaeGauss51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 31>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 31, 1, 0, 31, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 31, 1, 0, 31, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:543:29:   required from 'class Numer::QuadratureKronrod<double>'
  543 | Eigen::Array<Scalar, 31, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 31, 1, 0, 31, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 31, 1, 0, 31, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 31, 1, 0, 31, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 31, 1, 0, 31, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:543:29:   required from 'class Numer::QuadratureKronrod<double>'
  543 | Eigen::Array<Scalar, 31, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 15>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 15, 1, 0, 15, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 15, 1, 0, 15, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:615:29:   required from 'class Numer::QuadratureKronrod<double>'
  615 | Eigen::Array<Scalar, 15, 1> QuadratureKronrod<Scalar>::abscissaeGauss61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 15, 1, 0, 15, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 15, 1, 0, 15, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 15, 1, 0, 15, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 15, 1, 0, 15, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:615:29:   required from 'class Numer::QuadratureKronrod<double>'
  615 | Eigen::Array<Scalar, 15, 1> QuadratureKronrod<Scalar>::abscissaeGauss61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 36>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 36, 1, 0, 36, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 36, 1, 0, 36, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:657:29:   required from 'class Numer::QuadratureKronrod<double>'
  657 | Eigen::Array<Scalar, 36, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 36, 1, 0, 36, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 36, 1, 0, 36, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 36, 1, 0, 36, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 36, 1, 0, 36, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:657:29:   required from 'class Numer::QuadratureKronrod<double>'
  657 | Eigen::Array<Scalar, 36, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 18>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 18, 1, 0, 18, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 18, 1, 0, 18, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:739:29:   required from 'class Numer::QuadratureKronrod<double>'
  739 | Eigen::Array<Scalar, 18, 1> QuadratureKronrod<Scalar>::abscissaeGauss71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 18, 1, 0, 18, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 18, 1, 0, 18, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 18, 1, 0, 18, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 18, 1, 0, 18, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:739:29:   required from 'class Numer::QuadratureKronrod<double>'
  739 | Eigen::Array<Scalar, 18, 1> QuadratureKronrod<Scalar>::abscissaeGauss71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 41>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 41, 1, 0, 41, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 41, 1, 0, 41, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:787:29:   required from 'class Numer::QuadratureKronrod<double>'
  787 | Eigen::Array<Scalar, 41, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 41, 1, 0, 41, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 41, 1, 0, 41, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 41, 1, 0, 41, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 41, 1, 0, 41, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:787:29:   required from 'class Numer::QuadratureKronrod<double>'
  787 | Eigen::Array<Scalar, 41, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 20>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 20, 1, 0, 20, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 20, 1, 0, 20, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:879:29:   required from 'class Numer::QuadratureKronrod<double>'
  879 | Eigen::Array<Scalar, 20, 1> QuadratureKronrod<Scalar>::abscissaeGauss81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 20, 1, 0, 20, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 20, 1, 0, 20, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 20, 1, 0, 20, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 20, 1, 0, 20, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:879:29:   required from 'class Numer::QuadratureKronrod<double>'
  879 | Eigen::Array<Scalar, 20, 1> QuadratureKronrod<Scalar>::abscissaeGauss81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 46>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 46, 1, 0, 46, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 46, 1, 0, 46, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:931:29:   required from 'class Numer::QuadratureKronrod<double>'
  931 | Eigen::Array<Scalar, 46, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 46, 1, 0, 46, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 46, 1, 0, 46, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 46, 1, 0, 46, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 46, 1, 0, 46, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:931:29:   required from 'class Numer::QuadratureKronrod<double>'
  931 | Eigen::Array<Scalar, 46, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 23>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 23, 1, 0, 23, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 23, 1, 0, 23, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1033:29:   required from 'class Numer::QuadratureKronrod<double>'
 1033 | Eigen::Array<Scalar, 23, 1> QuadratureKronrod<Scalar>::abscissaeGauss91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 23, 1, 0, 23, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 23, 1, 0, 23, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 23, 1, 0, 23, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 23, 1, 0, 23, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1033:29:   required from 'class Numer::QuadratureKronrod<double>'
 1033 | Eigen::Array<Scalar, 23, 1> QuadratureKronrod<Scalar>::abscissaeGauss91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 51>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 51, 1, 0, 51, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 51, 1, 0, 51, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1091:29:   required from 'class Numer::QuadratureKronrod<double>'
 1091 | Eigen::Array<Scalar, 51, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 51, 1, 0, 51, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 51, 1, 0, 51, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 51, 1, 0, 51, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 51, 1, 0, 51, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1091:29:   required from 'class Numer::QuadratureKronrod<double>'
 1091 | Eigen::Array<Scalar, 51, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 25>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 25, 1, 0, 25, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 25, 1, 0, 25, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1203:29:   required from 'class Numer::QuadratureKronrod<double>'
 1203 | Eigen::Array<Scalar, 25, 1> QuadratureKronrod<Scalar>::abscissaeGauss101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 25, 1, 0, 25, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 25, 1, 0, 25, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 25, 1, 0, 25, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 25, 1, 0, 25, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1203:29:   required from 'class Numer::QuadratureKronrod<double>'
 1203 | Eigen::Array<Scalar, 25, 1> QuadratureKronrod<Scalar>::abscissaeGauss101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 61>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 61, 1, 0, 61, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 61, 1, 0, 61, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1265:29:   required from 'class Numer::QuadratureKronrod<double>'
 1265 | Eigen::Array<Scalar, 61, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 61, 1, 0, 61, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 61, 1, 0, 61, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 61, 1, 0, 61, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 61, 1, 0, 61, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1265:29:   required from 'class Numer::QuadratureKronrod<double>'
 1265 | Eigen::Array<Scalar, 61, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 30, 1, 0, 30, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 30, 1, 0, 30, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1397:29:   required from 'class Numer::QuadratureKronrod<double>'
 1397 | Eigen::Array<Scalar, 30, 1> QuadratureKronrod<Scalar>::abscissaeGauss121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 30, 1, 0, 30, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 30, 1, 0, 30, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 30, 1, 0, 30, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 30, 1, 0, 30, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1397:29:   required from 'class Numer::QuadratureKronrod<double>'
 1397 | Eigen::Array<Scalar, 30, 1> QuadratureKronrod<Scalar>::abscissaeGauss121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 101>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 101, 1, 0, 101, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 101, 1, 0, 101, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1469:30:   required from 'class Numer::QuadratureKronrod<double>'
 1469 | Eigen::Array<Scalar, 101, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod201 =
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 101, 1, 0, 101, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 101, 1, 0, 101, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 101, 1, 0, 101, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 101, 1, 0, 101, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1469:30:   required from 'class Numer::QuadratureKronrod<double>'
 1469 | Eigen::Array<Scalar, 101, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod201 =
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 50>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 50, 1, 0, 50, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 50, 1, 0, 50, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1681:29:   required from 'class Numer::QuadratureKronrod<double>'
 1681 | Eigen::Array<Scalar, 50, 1> QuadratureKronrod<Scalar>::abscissaeGauss201 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 50, 1, 0, 50, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 50, 1, 0, 50, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 50, 1, 0, 50, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 50, 1, 0, 50, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1681:29:   required from 'class Numer::QuadratureKronrod<double>'
 1681 | Eigen::Array<Scalar, 50, 1> QuadratureKronrod<Scalar>::abscissaeGauss201 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:497:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::prod() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  497 |   return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:205:38:   required from here
  205 |         scalefac((upper - lower).prod()),
      |                  ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:37:   required from 'static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]'
  143 |             x.noalias() = xp + step * drt;
      |                                ~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:127:43:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  127 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:37:   required from 'static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]'
  143 |             x.noalias() = xp + step * drt;
      |                                ~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:127:43:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  127 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:30:   required from 'static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]'
  143 |             x.noalias() = xp + step * drt;
      |                           ~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:127:43:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  127 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:161:56:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  161 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
      |                                        ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:83:16:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   83 |         m_s.col(loc).noalias() = s;
      |         ~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:37:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                         ~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:56:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:59:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:110:82:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  110 |             m_permMinv.block(m_m + loc, m_m, 1, m_ncorr).noalias() = Ss.transpose();
      |                                                                      ~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:163:41:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  163 |             res.noalias() -= m_alpha[j] * m_y.col(j);
      |                              ~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 7>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 7, 1, 0, 7, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 7, 1, 0, 7, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 7, 1, 0, 7, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 7, 1, 0, 7, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 8, 1, 0, 8, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 11, 1, 0, 11, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 16, 1, 0, 16, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 21, 1, 0, 21, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 26, 1, 0, 26, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 31, 1, 0, 31, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 71>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 71, 1, 0, 71, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 71, 1, 0, 71, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 71, 1, 0, 71, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 71, 1, 0, 71, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 71, 1, 0, 71, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 71, 1, 0, 71, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 35>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 35, 1, 0, 35, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 35, 1, 0, 35, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 35, 1, 0, 35, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 35, 1, 0, 35, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 36, 1, 0, 36, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 81>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 81, 1, 0, 81, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 81, 1, 0, 81, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 81, 1, 0, 81, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 81, 1, 0, 81, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 81, 1, 0, 81, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 81, 1, 0, 81, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 40>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 40, 1, 0, 40, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 40, 1, 0, 40, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 40, 1, 0, 40, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 40, 1, 0, 40, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 41, 1, 0, 41, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 91>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 91, 1, 0, 91, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 91, 1, 0, 91, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 91, 1, 0, 91, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 91, 1, 0, 91, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 91, 1, 0, 91, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 91, 1, 0, 91, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 45>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 45, 1, 0, 45, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 45, 1, 0, 45, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 45, 1, 0, 45, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 45, 1, 0, 45, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 46, 1, 0, 46, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 51, 1, 0, 51, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 121>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 121, 1, 0, 121, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 121, 1, 0, 121, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 121, 1, 0, 121, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 121, 1, 0, 121, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 121, 1, 0, 121, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 121, 1, 0, 121, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 60>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 60, 1, 0, 60, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 60, 1, 0, 60, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 60, 1, 0, 60, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 60, 1, 0, 60, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 61, 1, 0, 61, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 201>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 201, 1, 0, 201, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 201, 1, 0, 201, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 201, 1, 0, 201, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 201, 1, 0, 201, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 201, 1, 0, 201, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 201, 1, 0, 201, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 100>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 100, 1, 0, 100, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 100, 1, 0, 100, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 100, 1, 0, 100, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 100, 1, 0, 100, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 101, 1, 0, 101, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:74:32:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::reset(int, int) [with Scalar = double; bool LBFGSB = false]'
   74 |             m_permMinv.diagonal().setOnes();
      |             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:43:21:   required from 'void LBFGSpp::LBFGSSolver<Scalar, LineSearch>::reset(int) [with Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright]'
   43 |         m_bfgs.reset(n, m);
      |         ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:85:9:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
   85 |         reset(n);
      |         ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:123:35:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  123 |             Scalar dg = m_grad.dot(m_drt);
      |                         ~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   90 |         m_theta = m_y.col(loc).squaredNorm() / ys;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
   20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:141:50:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  141 |             m_permMinv.block(m_m, m_m, m_m, m_m) *= m_theta;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:167:13:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  167 |         res /= m_theta;
      |         ~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_product_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:497:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::prod() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  497 |   return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:205:38:   required from here
  205 |         scalefac((upper - lower).prod()),
      |                  ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:54:20:   required from here
   54 |     xx.noalias() = x;
      |                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:87:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   87 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
      |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:91:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  333 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
      |                                                                                     ~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:83:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  333 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
      |                                                                   ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:361:50:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  361 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 2> X(ldim, 2);
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:14:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |         ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:33:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |                              ~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:39:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |                              ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:81:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |                                                                    ~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:92:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |                                                                    ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:103:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |                                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:162:40:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
      |                          ~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   90 |         m_theta = m_y.col(loc).squaredNorm() / ys;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:161:56:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  161 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
      |                                        ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:110:68:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  110 |             m_permMinv.block(m_m + loc, m_m, 1, m_ncorr).noalias() = Ss.transpose();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
homophily.cpp:213:45:   required from here
  213 |     out.segment(r, n)  = um.block(1, 0, n, 1);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:123:35:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  123 |             Scalar dg = m_grad.dot(m_drt);
      |                         ~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   90 |         m_theta = m_y.col(loc).squaredNorm() / ys;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:87:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   87 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
      |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:64:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  333 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:28:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:64:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:162:40:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
      |                          ~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>'
  306 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>'
  310 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>'
  314 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -DARMA_64BIT_WORD=1 -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppProgress/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppDist/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp    -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c sar.cpp -o sar.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:57,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo.h:32,
                 from sar.cpp:29:
D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo_bits/config.hpp:373:72: note: '#pragma message: NOTE: option ARMA_CRIPPLED_LAPACK is not supported'
  373 |   #pragma message ("NOTE: option ARMA_CRIPPLED_LAPACK is not supported")
      |                                                                        ^
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -DARMA_64BIT_WORD=1 -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppProgress/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppDist/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp    -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c sartcomplet.cpp -o sartcomplet.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:57,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo.h:32,
                 from sartcomplet.cpp:2:
D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo_bits/config.hpp:373:72: note: '#pragma message: NOTE: option ARMA_CRIPPLED_LAPACK is not supported'
  373 |   #pragma message ("NOTE: option ARMA_CRIPPLED_LAPACK is not supported")
      |                                                                        ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/RcppNumerical.h:10,
                 from sartcomplet.cpp:4:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/Func.h:18:35:   required from here
   18 | typedef Eigen::Ref<Eigen::VectorXd>             Refvec;
      |                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/Func.h:18:35:   required from here
   18 | typedef Eigen::Ref<Eigen::VectorXd>             Refvec;
      |                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:636:45:   required from 'class Numer::Integrator<double>'
  636 |     Eigen::Array<Scalar, Eigen::Dynamic, 1> m_lowerList;
      |                                             ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:67:29:   required from here
   67 |     const Integrator<double>::QuadratureRule rule = Integrator<double>::GaussKronrod41
      |                             ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:188:50:   required from here
  188 |     const Eigen::Map<const Eigen::VectorXd> xval(x, *ndim);
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1> >'
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:189:26:   required from here
  189 |     *f = func->operator()(xval);
      |          ~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:205:27:   required from here
  205 |         scalefac((upper - lower).prod()),
      |                           ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:212:51:   required from here
  212 |         scalex.noalias() = lb + range.cwiseProduct(x);
      |                                 ~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:212:53:   required from here
  212 |         scalex.noalias() = lb + range.cwiseProduct(x);
      |                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, 1> >'
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:25:24:   required from here
   25 |         return f.f_grad(x, grad);
      |                ~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:36:12:   required from 'class LBFGSpp::BFGSMat<double, false>'
   36 |     Matrix m_s;      // History of the s vectors
      |            ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:30:21:   required from 'class LBFGSpp::LBFGSSolver<double>'
   30 |     BFGSMat<Scalar> m_bfgs;             // Approximation to the Hessian matrix
      |                     ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:50:46:   required from here
   50 |     LBFGSpp::LBFGSSolver<double> solver(param);
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:106:27:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  106 |         m_drt.noalias() = -m_grad;
      |                           ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:159:32:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  159 |             vecs.noalias() = x - m_xp;
      |                              ~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 8, 1, 0, 8, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:189:28:   required from 'class Numer::QuadratureKronrod<double>'
  189 | Eigen::Array<Scalar, 8, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod15 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 8, 1, 0, 8, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 8, 1, 0, 8, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 8, 1, 0, 8, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:189:28:   required from 'class Numer::QuadratureKronrod<double>'
  189 | Eigen::Array<Scalar, 8, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod15 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 4, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 4, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:215:28:   required from 'class Numer::QuadratureKronrod<double>'
  215 | Eigen::Array<Scalar, 4, 1> QuadratureKronrod<Scalar>::abscissaeGauss15 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 11>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 11, 1, 0, 11, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 11, 1, 0, 11, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:235:29:   required from 'class Numer::QuadratureKronrod<double>'
  235 | Eigen::Array<Scalar, 11, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod21 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 11, 1, 0, 11, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 11, 1, 0, 11, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 11, 1, 0, 11, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 11, 1, 0, 11, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:235:29:   required from 'class Numer::QuadratureKronrod<double>'
  235 | Eigen::Array<Scalar, 11, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod21 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 5>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 5, 1, 0, 5, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 5, 1, 0, 5, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:267:28:   required from 'class Numer::QuadratureKronrod<double>'
  267 | Eigen::Array<Scalar, 5, 1> QuadratureKronrod<Scalar>::abscissaeGauss21 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 5, 1, 0, 5, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 5, 1, 0, 5, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 5, 1, 0, 5, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 5, 1, 0, 5, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:267:28:   required from 'class Numer::QuadratureKronrod<double>'
  267 | Eigen::Array<Scalar, 5, 1> QuadratureKronrod<Scalar>::abscissaeGauss21 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 16, 1, 0, 16, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 16, 1, 0, 16, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:289:29:   required from 'class Numer::QuadratureKronrod<double>'
  289 | Eigen::Array<Scalar, 16, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod31 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 16, 1, 0, 16, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 16, 1, 0, 16, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 16, 1, 0, 16, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 16, 1, 0, 16, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:289:29:   required from 'class Numer::QuadratureKronrod<double>'
  289 | Eigen::Array<Scalar, 16, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod31 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 21>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 21, 1, 0, 21, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 21, 1, 0, 21, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:359:29:   required from 'class Numer::QuadratureKronrod<double>'
  359 | Eigen::Array<Scalar, 21, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 21, 1, 0, 21, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 21, 1, 0, 21, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 21, 1, 0, 21, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 21, 1, 0, 21, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:359:29:   required from 'class Numer::QuadratureKronrod<double>'
  359 | Eigen::Array<Scalar, 21, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 10, 1, 0, 10, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:411:29:   required from 'class Numer::QuadratureKronrod<double>'
  411 | Eigen::Array<Scalar, 10, 1> QuadratureKronrod<Scalar>::abscissaeGauss41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 10, 1, 0, 10, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 10, 1, 0, 10, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 10, 1, 0, 10, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:411:29:   required from 'class Numer::QuadratureKronrod<double>'
  411 | Eigen::Array<Scalar, 10, 1> QuadratureKronrod<Scalar>::abscissaeGauss41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 26>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 26, 1, 0, 26, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 26, 1, 0, 26, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:443:29:   required from 'class Numer::QuadratureKronrod<double>'
  443 | Eigen::Array<Scalar, 26, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 26, 1, 0, 26, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 26, 1, 0, 26, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 26, 1, 0, 26, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 26, 1, 0, 26, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:443:29:   required from 'class Numer::QuadratureKronrod<double>'
  443 | Eigen::Array<Scalar, 26, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 13>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 13, 1, 0, 13, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 13, 1, 0, 13, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:505:29:   required from 'class Numer::QuadratureKronrod<double>'
  505 | Eigen::Array<Scalar, 13, 1> QuadratureKronrod<Scalar>::abscissaeGauss51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 13, 1, 0, 13, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 13, 1, 0, 13, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 13, 1, 0, 13, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 13, 1, 0, 13, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:505:29:   required from 'class Numer::QuadratureKronrod<double>'
  505 | Eigen::Array<Scalar, 13, 1> QuadratureKronrod<Scalar>::abscissaeGauss51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 31>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 31, 1, 0, 31, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 31, 1, 0, 31, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:543:29:   required from 'class Numer::QuadratureKronrod<double>'
  543 | Eigen::Array<Scalar, 31, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 31, 1, 0, 31, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 31, 1, 0, 31, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 31, 1, 0, 31, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 31, 1, 0, 31, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:543:29:   required from 'class Numer::QuadratureKronrod<double>'
  543 | Eigen::Array<Scalar, 31, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 15>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 15, 1, 0, 15, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 15, 1, 0, 15, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:615:29:   required from 'class Numer::QuadratureKronrod<double>'
  615 | Eigen::Array<Scalar, 15, 1> QuadratureKronrod<Scalar>::abscissaeGauss61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 15, 1, 0, 15, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 15, 1, 0, 15, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 15, 1, 0, 15, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 15, 1, 0, 15, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:615:29:   required from 'class Numer::QuadratureKronrod<double>'
  615 | Eigen::Array<Scalar, 15, 1> QuadratureKronrod<Scalar>::abscissaeGauss61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 36>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 36, 1, 0, 36, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 36, 1, 0, 36, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:657:29:   required from 'class Numer::QuadratureKronrod<double>'
  657 | Eigen::Array<Scalar, 36, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 36, 1, 0, 36, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 36, 1, 0, 36, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 36, 1, 0, 36, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 36, 1, 0, 36, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:657:29:   required from 'class Numer::QuadratureKronrod<double>'
  657 | Eigen::Array<Scalar, 36, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 18>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 18, 1, 0, 18, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 18, 1, 0, 18, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:739:29:   required from 'class Numer::QuadratureKronrod<double>'
  739 | Eigen::Array<Scalar, 18, 1> QuadratureKronrod<Scalar>::abscissaeGauss71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 18, 1, 0, 18, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 18, 1, 0, 18, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 18, 1, 0, 18, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 18, 1, 0, 18, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:739:29:   required from 'class Numer::QuadratureKronrod<double>'
  739 | Eigen::Array<Scalar, 18, 1> QuadratureKronrod<Scalar>::abscissaeGauss71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 41>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 41, 1, 0, 41, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 41, 1, 0, 41, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:787:29:   required from 'class Numer::QuadratureKronrod<double>'
  787 | Eigen::Array<Scalar, 41, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 41, 1, 0, 41, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 41, 1, 0, 41, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 41, 1, 0, 41, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 41, 1, 0, 41, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:787:29:   required from 'class Numer::QuadratureKronrod<double>'
  787 | Eigen::Array<Scalar, 41, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 20>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 20, 1, 0, 20, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 20, 1, 0, 20, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:879:29:   required from 'class Numer::QuadratureKronrod<double>'
  879 | Eigen::Array<Scalar, 20, 1> QuadratureKronrod<Scalar>::abscissaeGauss81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 20, 1, 0, 20, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 20, 1, 0, 20, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 20, 1, 0, 20, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 20, 1, 0, 20, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:879:29:   required from 'class Numer::QuadratureKronrod<double>'
  879 | Eigen::Array<Scalar, 20, 1> QuadratureKronrod<Scalar>::abscissaeGauss81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 46>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 46, 1, 0, 46, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 46, 1, 0, 46, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:931:29:   required from 'class Numer::QuadratureKronrod<double>'
  931 | Eigen::Array<Scalar, 46, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 46, 1, 0, 46, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 46, 1, 0, 46, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 46, 1, 0, 46, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 46, 1, 0, 46, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:931:29:   required from 'class Numer::QuadratureKronrod<double>'
  931 | Eigen::Array<Scalar, 46, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 23>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 23, 1, 0, 23, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 23, 1, 0, 23, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1033:29:   required from 'class Numer::QuadratureKronrod<double>'
 1033 | Eigen::Array<Scalar, 23, 1> QuadratureKronrod<Scalar>::abscissaeGauss91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 23, 1, 0, 23, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 23, 1, 0, 23, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 23, 1, 0, 23, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 23, 1, 0, 23, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1033:29:   required from 'class Numer::QuadratureKronrod<double>'
 1033 | Eigen::Array<Scalar, 23, 1> QuadratureKronrod<Scalar>::abscissaeGauss91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 51>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 51, 1, 0, 51, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 51, 1, 0, 51, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1091:29:   required from 'class Numer::QuadratureKronrod<double>'
 1091 | Eigen::Array<Scalar, 51, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 51, 1, 0, 51, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 51, 1, 0, 51, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 51, 1, 0, 51, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 51, 1, 0, 51, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1091:29:   required from 'class Numer::QuadratureKronrod<double>'
 1091 | Eigen::Array<Scalar, 51, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 25>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 25, 1, 0, 25, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 25, 1, 0, 25, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1203:29:   required from 'class Numer::QuadratureKronrod<double>'
 1203 | Eigen::Array<Scalar, 25, 1> QuadratureKronrod<Scalar>::abscissaeGauss101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 25, 1, 0, 25, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 25, 1, 0, 25, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 25, 1, 0, 25, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 25, 1, 0, 25, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1203:29:   required from 'class Numer::QuadratureKronrod<double>'
 1203 | Eigen::Array<Scalar, 25, 1> QuadratureKronrod<Scalar>::abscissaeGauss101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 61>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 61, 1, 0, 61, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 61, 1, 0, 61, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1265:29:   required from 'class Numer::QuadratureKronrod<double>'
 1265 | Eigen::Array<Scalar, 61, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 61, 1, 0, 61, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 61, 1, 0, 61, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 61, 1, 0, 61, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 61, 1, 0, 61, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1265:29:   required from 'class Numer::QuadratureKronrod<double>'
 1265 | Eigen::Array<Scalar, 61, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 30, 1, 0, 30, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 30, 1, 0, 30, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1397:29:   required from 'class Numer::QuadratureKronrod<double>'
 1397 | Eigen::Array<Scalar, 30, 1> QuadratureKronrod<Scalar>::abscissaeGauss121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 30, 1, 0, 30, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 30, 1, 0, 30, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 30, 1, 0, 30, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 30, 1, 0, 30, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1397:29:   required from 'class Numer::QuadratureKronrod<double>'
 1397 | Eigen::Array<Scalar, 30, 1> QuadratureKronrod<Scalar>::abscissaeGauss121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 101>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 101, 1, 0, 101, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 101, 1, 0, 101, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1469:30:   required from 'class Numer::QuadratureKronrod<double>'
 1469 | Eigen::Array<Scalar, 101, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod201 =
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 101, 1, 0, 101, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 101, 1, 0, 101, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 101, 1, 0, 101, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 101, 1, 0, 101, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1469:30:   required from 'class Numer::QuadratureKronrod<double>'
 1469 | Eigen::Array<Scalar, 101, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod201 =
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 50>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 50, 1, 0, 50, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 50, 1, 0, 50, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1681:29:   required from 'class Numer::QuadratureKronrod<double>'
 1681 | Eigen::Array<Scalar, 50, 1> QuadratureKronrod<Scalar>::abscissaeGauss201 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 50, 1, 0, 50, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 50, 1, 0, 50, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 50, 1, 0, 50, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 50, 1, 0, 50, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1681:29:   required from 'class Numer::QuadratureKronrod<double>'
 1681 | Eigen::Array<Scalar, 50, 1> QuadratureKronrod<Scalar>::abscissaeGauss201 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:497:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::prod() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  497 |   return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:205:38:   required from here
  205 |         scalefac((upper - lower).prod()),
      |                  ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:37:   required from 'static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]'
  143 |             x.noalias() = xp + step * drt;
      |                                ~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:127:43:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  127 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:37:   required from 'static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]'
  143 |             x.noalias() = xp + step * drt;
      |                                ~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:127:43:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  127 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:30:   required from 'static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]'
  143 |             x.noalias() = xp + step * drt;
      |                           ~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:127:43:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  127 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:161:56:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  161 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
      |                                        ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:83:16:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   83 |         m_s.col(loc).noalias() = s;
      |         ~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:37:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                         ~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:56:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:59:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:110:29:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  110 |             m_permMinv.block(m_m + loc, m_m, 1, m_ncorr).noalias() = Ss.transpose();
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:110:82:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  110 |             m_permMinv.block(m_m + loc, m_m, 1, m_ncorr).noalias() = Ss.transpose();
      |                                                                      ~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:163:41:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  163 |             res.noalias() -= m_alpha[j] * m_y.col(j);
      |                              ~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 7>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 7, 1, 0, 7, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 7, 1, 0, 7, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 7, 1, 0, 7, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 7, 1, 0, 7, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 8, 1, 0, 8, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 11, 1, 0, 11, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 16, 1, 0, 16, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 21, 1, 0, 21, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 26, 1, 0, 26, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 31, 1, 0, 31, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 71>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 71, 1, 0, 71, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 71, 1, 0, 71, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 71, 1, 0, 71, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 71, 1, 0, 71, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 71, 1, 0, 71, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 71, 1, 0, 71, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 35>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 35, 1, 0, 35, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 35, 1, 0, 35, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 35, 1, 0, 35, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 35, 1, 0, 35, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 36, 1, 0, 36, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 81>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 81, 1, 0, 81, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 81, 1, 0, 81, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 81, 1, 0, 81, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 81, 1, 0, 81, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 81, 1, 0, 81, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 81, 1, 0, 81, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 40>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 40, 1, 0, 40, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 40, 1, 0, 40, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 40, 1, 0, 40, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 40, 1, 0, 40, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 41, 1, 0, 41, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 91>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 91, 1, 0, 91, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 91, 1, 0, 91, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 91, 1, 0, 91, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 91, 1, 0, 91, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 91, 1, 0, 91, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 91, 1, 0, 91, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 45>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 45, 1, 0, 45, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 45, 1, 0, 45, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 45, 1, 0, 45, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 45, 1, 0, 45, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 46, 1, 0, 46, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 51, 1, 0, 51, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 121>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 121, 1, 0, 121, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 121, 1, 0, 121, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 121, 1, 0, 121, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 121, 1, 0, 121, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 121, 1, 0, 121, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 121, 1, 0, 121, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 60>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 60, 1, 0, 60, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 60, 1, 0, 60, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 60, 1, 0, 60, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 60, 1, 0, 60, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 61, 1, 0, 61, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 201>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 201, 1, 0, 201, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 201, 1, 0, 201, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 201, 1, 0, 201, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 201, 1, 0, 201, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 201, 1, 0, 201, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 201, 1, 0, 201, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 100>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 100, 1, 0, 100, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 100, 1, 0, 100, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 100, 1, 0, 100, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 100, 1, 0, 100, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 101, 1, 0, 101, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:74:32:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::reset(int, int) [with Scalar = double; bool LBFGSB = false]'
   74 |             m_permMinv.diagonal().setOnes();
      |             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:43:21:   required from 'void LBFGSpp::LBFGSSolver<Scalar, LineSearch>::reset(int) [with Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright]'
   43 |         m_bfgs.reset(n, m);
      |         ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:85:9:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
   85 |         reset(n);
      |         ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:123:35:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  123 |             Scalar dg = m_grad.dot(m_drt);
      |                         ~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   90 |         m_theta = m_y.col(loc).squaredNorm() / ys;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
   20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:141:50:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  141 |             m_permMinv.block(m_m, m_m, m_m, m_m) *= m_theta;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:167:13:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  167 |         res /= m_theta;
      |         ~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_product_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:497:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::prod() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  497 |   return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:205:38:   required from here
  205 |         scalefac((upper - lower).prod()),
      |                  ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:54:20:   required from here
   54 |     xx.noalias() = x;
      |                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:87:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   87 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
      |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:330:16:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  330 |         MapVec l(lptr, ldim);
      |                ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:91:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  333 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
      |                                                                                     ~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:83:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  333 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
      |                                                                   ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:361:50:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  361 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 2> X(ldim, 2);
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:14:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |         ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:33:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |                              ~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:39:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |                              ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:81:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |                                                                    ~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:92:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |                                                                    ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:103:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |                                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:162:40:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
      |                          ~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   90 |         m_theta = m_y.col(loc).squaredNorm() / ys;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:161:56:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  161 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
      |                                        ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:110:68:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  110 |             m_permMinv.block(m_m + loc, m_m, 1, m_ncorr).noalias() = Ss.transpose();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:123:35:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  123 |             Scalar dg = m_grad.dot(m_drt);
      |                         ~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   90 |         m_theta = m_y.col(loc).squaredNorm() / ys;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:87:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   87 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
      |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:64:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  333 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:28:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:64:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:162:40:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
      |                          ~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>'
  306 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>'
  310 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>'
  314 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -DARMA_64BIT_WORD=1 -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppProgress/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppDist/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp    -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c sartincomplet.cpp -o sartincomplet.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:57,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/RcppArmadillo.h:32,
                 from sartincomplet.cpp:29:
D:/RCompile/CRANpkg/lib/4.6/RcppArmadillo/include/current/armadillo_bits/config.hpp:373:72: note: '#pragma message: NOTE: option ARMA_CRIPPLED_LAPACK is not supported'
  373 |   #pragma message ("NOTE: option ARMA_CRIPPLED_LAPACK is not supported")
      |                                                                        ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/RcppNumerical.h:10,
                 from sartincomplet.cpp:31:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/Func.h:18:35:   required from here
   18 | typedef Eigen::Ref<Eigen::VectorXd>             Refvec;
      |                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/Func.h:18:35:   required from here
   18 | typedef Eigen::Ref<Eigen::VectorXd>             Refvec;
      |                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:636:45:   required from 'class Numer::Integrator<double>'
  636 |     Eigen::Array<Scalar, Eigen::Dynamic, 1> m_lowerList;
      |                                             ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:67:29:   required from here
   67 |     const Integrator<double>::QuadratureRule rule = Integrator<double>::GaussKronrod41
      |                             ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:188:50:   required from here
  188 |     const Eigen::Map<const Eigen::VectorXd> xval(x, *ndim);
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1> >'
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:189:26:   required from here
  189 |     *f = func->operator()(xval);
      |          ~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:205:27:   required from here
  205 |         scalefac((upper - lower).prod()),
      |                           ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:212:51:   required from here
  212 |         scalex.noalias() = lb + range.cwiseProduct(x);
      |                                 ~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:212:53:   required from here
  212 |         scalex.noalias() = lb + range.cwiseProduct(x);
      |                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, 1> >'
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:25:24:   required from here
   25 |         return f.f_grad(x, grad);
      |                ~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:36:12:   required from 'class LBFGSpp::BFGSMat<double, false>'
   36 |     Matrix m_s;      // History of the s vectors
      |            ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:30:21:   required from 'class LBFGSpp::LBFGSSolver<double>'
   30 |     BFGSMat<Scalar> m_bfgs;             // Approximation to the Hessian matrix
      |                     ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:50:46:   required from here
   50 |     LBFGSpp::LBFGSSolver<double> solver(param);
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:55:38:   required from here
   55 |   Eigen::ArrayXd scaled = ZtLambda / sigma;
      |                                      ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:55:38:   required from here
   55 |   Eigen::ArrayXd scaled = ZtLambda / sigma;
      |                                      ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
sartincomplet.cpp:56:53:   required from here
   56 |   Eigen::ArrayXd Phi = 0.5 * (1.0 + scaled.unaryExpr([](double v){ return std::erf(v / std::sqrt(2.0)); }));
      |                                     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:56:106:   required from here
   56 |   Eigen::ArrayXd Phi = 0.5 * (1.0 + scaled.unaryExpr([](double v){ return std::erf(v / std::sqrt(2.0)); }));
      |                                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<fLTBTEigen(const Eigen::ArrayXd&, const double&)::<lambda(double)>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:56:107:   required from here
   56 |   Eigen::ArrayXd Phi = 0.5 * (1.0 + scaled.unaryExpr([](double v){ return std::erf(v / std::sqrt(2.0)); }));
      |                                                                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
sartincomplet.cpp:57:77:   required from here
   57 |   Eigen::ArrayXd phi = (1.0 / std::sqrt(2.0 * M_PI)) * (-0.5 * scaled.square()).exp();
      |                                                                ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:57:78:   required from here
   57 |   Eigen::ArrayXd phi = (1.0 / std::sqrt(2.0 * M_PI)) * (-0.5 * scaled.square()).exp();
      |                                                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
sartincomplet.cpp:57:84:   required from here
   57 |   Eigen::ArrayXd phi = (1.0 / std::sqrt(2.0 * M_PI)) * (-0.5 * scaled.square()).exp();
      |                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:57:85:   required from here
   57 |   Eigen::ArrayXd phi = (1.0 / std::sqrt(2.0 * M_PI)) * (-0.5 * scaled.square()).exp();
      |                                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:58:21:   required from here
   58 |   return ZtLambda * Phi + sigma * phi;
      |                     ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:58:35:   required from here
   58 |   return ZtLambda * Phi + sigma * phi;
      |                                   ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:58:35:   required from here
   58 |   return ZtLambda * Phi + sigma * phi;
      |                                   ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:112:40:   required from here
  112 |   Eigen::ArrayXd ZtLambda(lambda*GEy + psi);
      |                                        ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:114:25:   required from here
  114 |   double dist((((Eyst - Ey)/Ey).abs()).maxCoeff());
      |                         ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:114:29:   required from here
  114 |   double dist((((Eyst - Ey)/Ey).abs()).maxCoeff());
      |                             ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
sartincomplet.cpp:114:36:   required from here
  114 |   double dist((((Eyst - Ey)/Ey).abs()).maxCoeff());
      |                ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
sartincomplet.cpp:121:16:   required from here
  121 |     GEy.segment(n1, nm) = G[m] * Ey.segment(n1, nm).matrix();
      |     ~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:121:59:   required from here
  121 |     GEy.segment(n1, nm) = G[m] * Ey.segment(n1, nm).matrix();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
sartincomplet.cpp:121:60:   required from here
  121 |     GEy.segment(n1, nm) = G[m] * Ey.segment(n1, nm).matrix();
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
   45 | class Array
      |       ^~~~~
sartincomplet.cpp:139:44:   required from here
  139 |                             const int& sumn) {
      |                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:140:36:   required from here
  140 |   Eigen::ArrayXd ZtLambda(lambda * Gye + X*beta);
      |                                    ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:140:36:   required from here
  140 |   Eigen::ArrayXd ZtLambda(lambda * Gye + X*beta);
      |                                    ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
sartincomplet.cpp:140:44:   required from here
  140 |   Eigen::ArrayXd ZtLambda(lambda * Gye + X*beta);
      |                                            ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:140:44:   required from here
  140 |   Eigen::ArrayXd ZtLambda(lambda * Gye + X*beta);
      |                                            ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:146:29:   required from here
  146 |   Eigen::ArrayXXd meff1(Phi*lambda);
      |                             ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
sartincomplet.cpp:158:19:   required from here
  158 |       meff2dir.col(k) = Phi*beta(indexmarg(k));
      |       ~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
sartincomplet.cpp:161:13:   required from here
  161 |       Xk.col(indexmarg(k)).array() = dis0(indexmarg(k));
      |       ~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
sartincomplet.cpp:161:33:   required from here
  161 |       Xk.col(indexmarg(k)).array() = dis0(indexmarg(k));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:162:33:   required from here
  162 |       Eigen::ArrayXd ZtL0(Gye * lambda + Xk * beta); // initial
      |                                 ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:162:47:   required from here
  162 |       Eigen::ArrayXd ZtL0(Gye * lambda + Xk * beta); // initial
      |                                               ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
sartincomplet.cpp:350:80:   required from here
  350 |     grad                   = -Eigen::Map<Eigen::VectorXd>(gdarm.memptr(), K + 2);
      |                                                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
sartincomplet.cpp:350:80:   required from here
  350 |     grad                   = -Eigen::Map<Eigen::VectorXd>(gdarm.memptr(), K + 2);
      |                                                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
sartincomplet.cpp:351:31:   required from here
  351 |     Grad                   = -grad;
      |                               ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
sartincomplet.cpp:526:51:   required from here
  526 |     Eigen::MatrixXd Rmat(Eigen::MatrixXd::Identity(nparms, nparms));
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
sartincomplet.cpp:529:37:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                     ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
sartincomplet.cpp:529:61:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                               ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
sartincomplet.cpp:529:62:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
sartincomplet.cpp:534:20:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
sartincomplet.cpp:534:60:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                            ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
sartincomplet.cpp:534:74:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
sartincomplet.cpp:534:101:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                         ~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
sartincomplet.cpp:546:40:   required from here
  546 |     Eigen::VectorXd beta(thetat.segment(1, K));
      |                          ~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
sartincomplet.cpp:548:67:   required from here
  548 |     Eigen::ArrayXd Phi = 0.5 * (1.0 + (ZtLambda / sigma).unaryExpr([](double v) {
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  549 |       return std::erf(v / std::sqrt(2.0));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                         
  550 |     }));
      |     ~~                                                             
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:550:6:   required from here
  550 |     }));
      |      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<SImeffects(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::ArrayXi&, const Eigen::ArrayXd&, const Eigen::ArrayXd&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const Eigen::ArrayXi&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const std::vector<Eigen::Matrix<double, -1, -1> >&, const Eigen::ArrayXXi&, const int&, const int&, const double&, const int&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const int&, const bool&, const unsigned int&)::<lambda(double)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:550:7:   required from here
  550 |     }));
      |       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
sartincomplet.cpp:592:35:   required from here
  592 |               lambda * (G[m].array().colwise() * Phi.segment(n1, nm)).matrix());
      |                         ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:592:68:   required from here
  592 |               lambda * (G[m].array().colwise() * Phi.segment(n1, nm)).matrix());
      |                                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:592:68:   required from here
  592 |               lambda * (G[m].array().colwise() * Phi.segment(n1, nm)).matrix());
      |                                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:592:77:   required from here
  592 |               lambda * (G[m].array().colwise() * Phi.segment(n1, nm)).matrix());
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:592:78:   required from here
  592 |               lambda * (G[m].array().colwise() * Phi.segment(n1, nm)).matrix());
      |                                                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:592:78:   required from here
  592 |               lambda * (G[m].array().colwise() * Phi.segment(n1, nm)).matrix());
      |                                                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:592:78:   required from here
  592 |               lambda * (G[m].array().colwise() * Phi.segment(n1, nm)).matrix());
      |                                                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
sartincomplet.cpp:593:52:   required from here
  593 |             Eigen::MatrixXd B(Eigen::MatrixXd::Zero(nm, nm));
      |                               ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:595:45:   required from here
  595 |               B = beta(indexGX(k)) * Gcont[m];
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
sartincomplet.cpp:597:23:   required from here
  597 |             B.diagonal().array() += beta(indexX(k));
      |             ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
sartincomplet.cpp:597:31:   required from here
  597 |             B.diagonal().array() += beta(indexX(k));
      |             ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
sartincomplet.cpp:598:24:   required from here
  598 |             B = B.array().colwise() * Phi.segment(n1, nm);
      |                 ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:598:57:   required from here
  598 |             B = B.array().colwise() * Phi.segment(n1, nm);
      |                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
sartincomplet.cpp:599:27:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19:   required from 'class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >'
  440 |     RowVectorType m_temp;
      |                   ^~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
sartincomplet.cpp:599:75:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
sartincomplet.cpp:599:85:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
sartincomplet.cpp:599:101:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
sartincomplet.cpp:624:48:   required from here
  624 |         Eigen::ArrayXd ye0(Eigen::ArrayXd::Zero(sumn)),
      |                            ~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from 'class Eigen::IndexedViewImpl<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1>, Eigen::Dense>'
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from 'class Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> >'
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
sartincomplet.cpp:636:49:   required from here
  636 |     Eigen::ArrayXXd meff2idi(meff2tot - meff2dir(Eigen::all, indexinmarg));
      |                                         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::IndexedView<Eigen::Array<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:636:73:   required from here
  636 |     Eigen::ArrayXXd meff2idi(meff2tot - meff2dir(Eigen::all, indexinmarg));
      |                                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:638:50:   required from here
  638 |     Lmeffdir.col(booti)  = meffdir.colwise().mean().transpose();
      |                            ~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:638:50:   required from here
  638 |     Lmeffdir.col(booti)  = meffdir.colwise().mean().transpose();
      |                            ~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
sartincomplet.cpp:638:50:   required from here
  638 |     Lmeffdir.col(booti)  = meffdir.colwise().mean().transpose();
      |                            ~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
sartincomplet.cpp:638:62:   required from here
  638 |     Lmeffdir.col(booti)  = meffdir.colwise().mean().transpose();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Array<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Array<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
sartincomplet.cpp:645:62:   required from here
  645 |     return  List::create(Named("direct") = Lmeffdir.transpose());
      |                                            ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:106:27:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  106 |         m_drt.noalias() = -m_grad;
      |                           ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:159:32:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  159 |             vecs.noalias() = x - m_xp;
      |                              ~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 8, 1, 0, 8, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:189:28:   required from 'class Numer::QuadratureKronrod<double>'
  189 | Eigen::Array<Scalar, 8, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod15 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 8, 1, 0, 8, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 8, 1, 0, 8, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 8, 1, 0, 8, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 8, 1, 0, 8, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:189:28:   required from 'class Numer::QuadratureKronrod<double>'
  189 | Eigen::Array<Scalar, 8, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod15 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 4, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 4, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:215:28:   required from 'class Numer::QuadratureKronrod<double>'
  215 | Eigen::Array<Scalar, 4, 1> QuadratureKronrod<Scalar>::abscissaeGauss15 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 11>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 11, 1, 0, 11, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 11, 1, 0, 11, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:235:29:   required from 'class Numer::QuadratureKronrod<double>'
  235 | Eigen::Array<Scalar, 11, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod21 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 11, 1, 0, 11, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 11, 1, 0, 11, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 11, 1, 0, 11, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 11, 1, 0, 11, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 11, 1, 0, 11, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:235:29:   required from 'class Numer::QuadratureKronrod<double>'
  235 | Eigen::Array<Scalar, 11, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod21 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 5>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 5, 1, 0, 5, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 5, 1, 0, 5, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:267:28:   required from 'class Numer::QuadratureKronrod<double>'
  267 | Eigen::Array<Scalar, 5, 1> QuadratureKronrod<Scalar>::abscissaeGauss21 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 5, 1, 0, 5, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 5, 1, 0, 5, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 5, 1, 0, 5, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 5, 1, 0, 5, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 5, 1, 0, 5, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:267:28:   required from 'class Numer::QuadratureKronrod<double>'
  267 | Eigen::Array<Scalar, 5, 1> QuadratureKronrod<Scalar>::abscissaeGauss21 =
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 16, 1, 0, 16, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 16, 1, 0, 16, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:289:29:   required from 'class Numer::QuadratureKronrod<double>'
  289 | Eigen::Array<Scalar, 16, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod31 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 16, 1, 0, 16, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 16, 1, 0, 16, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 16, 1, 0, 16, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 16, 1, 0, 16, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 16, 1, 0, 16, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:289:29:   required from 'class Numer::QuadratureKronrod<double>'
  289 | Eigen::Array<Scalar, 16, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod31 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 21>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 21, 1, 0, 21, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 21, 1, 0, 21, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:359:29:   required from 'class Numer::QuadratureKronrod<double>'
  359 | Eigen::Array<Scalar, 21, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 21, 1, 0, 21, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 21, 1, 0, 21, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 21, 1, 0, 21, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 21, 1, 0, 21, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 21, 1, 0, 21, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:359:29:   required from 'class Numer::QuadratureKronrod<double>'
  359 | Eigen::Array<Scalar, 21, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 10, 1, 0, 10, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:411:29:   required from 'class Numer::QuadratureKronrod<double>'
  411 | Eigen::Array<Scalar, 10, 1> QuadratureKronrod<Scalar>::abscissaeGauss41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 10, 1, 0, 10, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 10, 1, 0, 10, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 10, 1, 0, 10, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 10, 1, 0, 10, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:411:29:   required from 'class Numer::QuadratureKronrod<double>'
  411 | Eigen::Array<Scalar, 10, 1> QuadratureKronrod<Scalar>::abscissaeGauss41 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 26>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 26, 1, 0, 26, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 26, 1, 0, 26, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:443:29:   required from 'class Numer::QuadratureKronrod<double>'
  443 | Eigen::Array<Scalar, 26, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 26, 1, 0, 26, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 26, 1, 0, 26, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 26, 1, 0, 26, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 26, 1, 0, 26, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 26, 1, 0, 26, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:443:29:   required from 'class Numer::QuadratureKronrod<double>'
  443 | Eigen::Array<Scalar, 26, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 13>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 13, 1, 0, 13, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 13, 1, 0, 13, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:505:29:   required from 'class Numer::QuadratureKronrod<double>'
  505 | Eigen::Array<Scalar, 13, 1> QuadratureKronrod<Scalar>::abscissaeGauss51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 13, 1, 0, 13, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 13, 1, 0, 13, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 13, 1, 0, 13, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 13, 1, 0, 13, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 13, 1, 0, 13, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:505:29:   required from 'class Numer::QuadratureKronrod<double>'
  505 | Eigen::Array<Scalar, 13, 1> QuadratureKronrod<Scalar>::abscissaeGauss51 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 31>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 31, 1, 0, 31, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 31, 1, 0, 31, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:543:29:   required from 'class Numer::QuadratureKronrod<double>'
  543 | Eigen::Array<Scalar, 31, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 31, 1, 0, 31, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 31, 1, 0, 31, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 31, 1, 0, 31, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 31, 1, 0, 31, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 31, 1, 0, 31, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:543:29:   required from 'class Numer::QuadratureKronrod<double>'
  543 | Eigen::Array<Scalar, 31, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 15>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 15, 1, 0, 15, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 15, 1, 0, 15, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:615:29:   required from 'class Numer::QuadratureKronrod<double>'
  615 | Eigen::Array<Scalar, 15, 1> QuadratureKronrod<Scalar>::abscissaeGauss61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 15, 1, 0, 15, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 15, 1, 0, 15, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 15, 1, 0, 15, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 15, 1, 0, 15, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 15, 1, 0, 15, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:615:29:   required from 'class Numer::QuadratureKronrod<double>'
  615 | Eigen::Array<Scalar, 15, 1> QuadratureKronrod<Scalar>::abscissaeGauss61 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 36>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 36, 1, 0, 36, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 36, 1, 0, 36, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:657:29:   required from 'class Numer::QuadratureKronrod<double>'
  657 | Eigen::Array<Scalar, 36, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 36, 1, 0, 36, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 36, 1, 0, 36, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 36, 1, 0, 36, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 36, 1, 0, 36, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 36, 1, 0, 36, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:657:29:   required from 'class Numer::QuadratureKronrod<double>'
  657 | Eigen::Array<Scalar, 36, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 18>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 18, 1, 0, 18, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 18, 1, 0, 18, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:739:29:   required from 'class Numer::QuadratureKronrod<double>'
  739 | Eigen::Array<Scalar, 18, 1> QuadratureKronrod<Scalar>::abscissaeGauss71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 18, 1, 0, 18, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 18, 1, 0, 18, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 18, 1, 0, 18, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 18, 1, 0, 18, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 18, 1, 0, 18, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:739:29:   required from 'class Numer::QuadratureKronrod<double>'
  739 | Eigen::Array<Scalar, 18, 1> QuadratureKronrod<Scalar>::abscissaeGauss71 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 41>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 41, 1, 0, 41, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 41, 1, 0, 41, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:787:29:   required from 'class Numer::QuadratureKronrod<double>'
  787 | Eigen::Array<Scalar, 41, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 41, 1, 0, 41, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 41, 1, 0, 41, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 41, 1, 0, 41, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 41, 1, 0, 41, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 41, 1, 0, 41, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:787:29:   required from 'class Numer::QuadratureKronrod<double>'
  787 | Eigen::Array<Scalar, 41, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 20>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 20, 1, 0, 20, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 20, 1, 0, 20, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:879:29:   required from 'class Numer::QuadratureKronrod<double>'
  879 | Eigen::Array<Scalar, 20, 1> QuadratureKronrod<Scalar>::abscissaeGauss81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 20, 1, 0, 20, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 20, 1, 0, 20, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 20, 1, 0, 20, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 20, 1, 0, 20, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 20, 1, 0, 20, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:879:29:   required from 'class Numer::QuadratureKronrod<double>'
  879 | Eigen::Array<Scalar, 20, 1> QuadratureKronrod<Scalar>::abscissaeGauss81 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 46>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 46, 1, 0, 46, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 46, 1, 0, 46, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:931:29:   required from 'class Numer::QuadratureKronrod<double>'
  931 | Eigen::Array<Scalar, 46, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 46, 1, 0, 46, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 46, 1, 0, 46, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 46, 1, 0, 46, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 46, 1, 0, 46, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 46, 1, 0, 46, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:931:29:   required from 'class Numer::QuadratureKronrod<double>'
  931 | Eigen::Array<Scalar, 46, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 23>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 23, 1, 0, 23, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 23, 1, 0, 23, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1033:29:   required from 'class Numer::QuadratureKronrod<double>'
 1033 | Eigen::Array<Scalar, 23, 1> QuadratureKronrod<Scalar>::abscissaeGauss91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 23, 1, 0, 23, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 23, 1, 0, 23, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 23, 1, 0, 23, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 23, 1, 0, 23, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 23, 1, 0, 23, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1033:29:   required from 'class Numer::QuadratureKronrod<double>'
 1033 | Eigen::Array<Scalar, 23, 1> QuadratureKronrod<Scalar>::abscissaeGauss91 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 51>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 51, 1, 0, 51, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 51, 1, 0, 51, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1091:29:   required from 'class Numer::QuadratureKronrod<double>'
 1091 | Eigen::Array<Scalar, 51, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 51, 1, 0, 51, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 51, 1, 0, 51, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 51, 1, 0, 51, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 51, 1, 0, 51, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 51, 1, 0, 51, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1091:29:   required from 'class Numer::QuadratureKronrod<double>'
 1091 | Eigen::Array<Scalar, 51, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 25>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 25, 1, 0, 25, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 25, 1, 0, 25, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1203:29:   required from 'class Numer::QuadratureKronrod<double>'
 1203 | Eigen::Array<Scalar, 25, 1> QuadratureKronrod<Scalar>::abscissaeGauss101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 25, 1, 0, 25, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 25, 1, 0, 25, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 25, 1, 0, 25, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 25, 1, 0, 25, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 25, 1, 0, 25, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1203:29:   required from 'class Numer::QuadratureKronrod<double>'
 1203 | Eigen::Array<Scalar, 25, 1> QuadratureKronrod<Scalar>::abscissaeGauss101 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 61>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 61, 1, 0, 61, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 61, 1, 0, 61, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1265:29:   required from 'class Numer::QuadratureKronrod<double>'
 1265 | Eigen::Array<Scalar, 61, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 61, 1, 0, 61, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 61, 1, 0, 61, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 61, 1, 0, 61, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 61, 1, 0, 61, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 61, 1, 0, 61, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1265:29:   required from 'class Numer::QuadratureKronrod<double>'
 1265 | Eigen::Array<Scalar, 61, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 30, 1, 0, 30, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 30, 1, 0, 30, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1397:29:   required from 'class Numer::QuadratureKronrod<double>'
 1397 | Eigen::Array<Scalar, 30, 1> QuadratureKronrod<Scalar>::abscissaeGauss121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 30, 1, 0, 30, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 30, 1, 0, 30, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 30, 1, 0, 30, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 30, 1, 0, 30, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 30, 1, 0, 30, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1397:29:   required from 'class Numer::QuadratureKronrod<double>'
 1397 | Eigen::Array<Scalar, 30, 1> QuadratureKronrod<Scalar>::abscissaeGauss121 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 101>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 101, 1, 0, 101, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 101, 1, 0, 101, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1469:30:   required from 'class Numer::QuadratureKronrod<double>'
 1469 | Eigen::Array<Scalar, 101, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod201 =
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 101, 1, 0, 101, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 101, 1, 0, 101, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 101, 1, 0, 101, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 101, 1, 0, 101, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 101, 1, 0, 101, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1469:30:   required from 'class Numer::QuadratureKronrod<double>'
 1469 | Eigen::Array<Scalar, 101, 1> QuadratureKronrod<Scalar>::abscissaeGaussKronrod201 =
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 50>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 50, 1, 0, 50, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 50, 1, 0, 50, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1681:29:   required from 'class Numer::QuadratureKronrod<double>'
 1681 | Eigen::Array<Scalar, 50, 1> QuadratureKronrod<Scalar>::abscissaeGauss201 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 50, 1, 0, 50, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 50, 1, 0, 50, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 50, 1, 0, 50, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 50, 1, 0, 50, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 50, 1, 0, 50, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1681:29:   required from 'class Numer::QuadratureKronrod<double>'
 1681 | Eigen::Array<Scalar, 50, 1> QuadratureKronrod<Scalar>::abscissaeGauss201 =
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:449:40:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |                                        ^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:497:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::prod() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  497 |   return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:205:38:   required from here
  205 |         scalefac((upper - lower).prod()),
      |                  ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:30:   required from 'static void LBFGSpp::LineSearchNocedalWright<Scalar>::LineSearch(Foo&, const LBFGSpp::LBFGSParam<Scalar>&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix<double, -1, 1>]'
  143 |             x.noalias() = xp + step * drt;
      |                           ~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:127:43:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  127 |             LineSearch<Scalar>::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:161:56:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  161 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
      |                                        ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:37:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                         ~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:56:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:59:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:110:82:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  110 |             m_permMinv.block(m_m + loc, m_m, 1, m_ncorr).noalias() = Ss.transpose();
      |                                                                      ~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:163:41:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  163 |             res.noalias() -= m_alpha[j] * m_y.col(j);
      |                              ~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:43:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:91:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 1, -1, 1, 1, -1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:638:63:   required from here
  638 |     Lmeffdir.col(booti)  = meffdir.colwise().mean().transpose();
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 7>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 7, 1, 0, 7, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 7, 1, 0, 7, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 7, 1, 0, 7, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 7, 1, 0, 7, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 7, 1, 0, 7, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 8, 1, 0, 8, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 11, 1, 0, 11, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 16, 1, 0, 16, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 21, 1, 0, 21, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 26, 1, 0, 26, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 31, 1, 0, 31, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 71>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 71, 1, 0, 71, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 71, 1, 0, 71, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 71, 1, 0, 71, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 71, 1, 0, 71, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 71, 1, 0, 71, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 71, 1, 0, 71, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 71, 1, 0, 71, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 35>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 35, 1, 0, 35, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 35, 1, 0, 35, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 35, 1, 0, 35, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 35, 1, 0, 35, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 35, 1, 0, 35, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 36, 1, 0, 36, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 81>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 81, 1, 0, 81, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 81, 1, 0, 81, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 81, 1, 0, 81, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 81, 1, 0, 81, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 81, 1, 0, 81, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 81, 1, 0, 81, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 81, 1, 0, 81, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 40>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 40, 1, 0, 40, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 40, 1, 0, 40, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 40, 1, 0, 40, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 40, 1, 0, 40, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 40, 1, 0, 40, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 41, 1, 0, 41, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 91>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 91, 1, 0, 91, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 91, 1, 0, 91, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 91, 1, 0, 91, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 91, 1, 0, 91, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 91, 1, 0, 91, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 91, 1, 0, 91, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 91, 1, 0, 91, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 45>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 45, 1, 0, 45, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 45, 1, 0, 45, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 45, 1, 0, 45, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 45, 1, 0, 45, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 45, 1, 0, 45, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 46, 1, 0, 46, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 51, 1, 0, 51, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 121>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 121, 1, 0, 121, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 121, 1, 0, 121, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 121, 1, 0, 121, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 121, 1, 0, 121, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 121, 1, 0, 121, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 121, 1, 0, 121, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 121, 1, 0, 121, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 60>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 60, 1, 0, 60, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 60, 1, 0, 60, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 60, 1, 0, 60, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 60, 1, 0, 60, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 60, 1, 0, 60, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 61, 1, 0, 61, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 201>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 201, 1, 0, 201, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 201, 1, 0, 201, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 201, 1, 0, 201, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 201, 1, 0, 201, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 201, 1, 0, 201, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 201, 1, 0, 201, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 201, 1, 0, 201, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:542:57:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  542 |         Eigen::Array<Scalar, 2 * numKronrodRows - 1, 1> points;
      |                                                         ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 100>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 100, 1, 0, 100, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 100, 1, 0, 100, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 100, 1, 0, 100, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 100, 1, 0, 100, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 100, 1, 0, 100, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:559:67:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  559 |         Eigen::Map< Eigen::Array<Scalar, numKronrodRows - 1, 1> > f1Array(&fPoints[1],         size1, 1);
      |                                                                   ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:36:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                           ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, 101, 1, 0, 101, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:73:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:47:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:123:35:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  123 |             Scalar dg = m_grad.dot(m_drt);
      |                         ~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   90 |         m_theta = m_y.col(loc).squaredNorm() / ys;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:167:13:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  167 |         res /= m_theta;
      |         ~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_product_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:497:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::prod() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> >, const Eigen::Ref<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  497 |   return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:205:38:   required from here
  205 |         scalefac((upper - lower).prod()),
      |                  ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >'
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:54:20:   required from here
   54 |     xx.noalias() = x;
      |                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:87:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   87 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
      |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:91:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  333 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
      |                                                                                     ~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:83:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  333 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
      |                                                                   ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:361:50:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  361 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 2> X(ldim, 2);
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:14:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |         ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:33:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |                              ~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:39:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |                              ~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:81:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |                                                                    ~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:92:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |                                                                    ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:103:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |                                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:162:40:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
      |                          ~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:559:39:   required from here
  559 |       Lmeffdir.col(booti) = meff1.mean();
      |                             ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 1, -1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  521 |     RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 7, 1, 0, 7, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 8, 1, 0, 8, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:448:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  448 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  449 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |             QuadratureKronrod<Scalar>::weightsGaussKronrod15, QuadratureKronrod<Scalar>::weightsGauss15,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 10, 1, 0, 10, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 11, 1, 0, 11, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:454:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  454 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  455 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |             QuadratureKronrod<Scalar>::weightsGaussKronrod21, QuadratureKronrod<Scalar>::weightsGauss21,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 15, 1, 0, 15, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 16, 1, 0, 16, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:460:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  460 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  461 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |             QuadratureKronrod<Scalar>::weightsGaussKronrod31, QuadratureKronrod<Scalar>::weightsGauss31,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 20, 1, 0, 20, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 21, 1, 0, 21, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:466:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  466 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  467 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  468 |             QuadratureKronrod<Scalar>::weightsGaussKronrod41, QuadratureKronrod<Scalar>::weightsGauss41,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  469 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 25, 1, 0, 25, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 26, 1, 0, 26, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:472:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  472 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  473 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  474 |             QuadratureKronrod<Scalar>::weightsGaussKronrod51, QuadratureKronrod<Scalar>::weightsGauss51,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  475 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 30, 1, 0, 30, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 31, 1, 0, 31, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:478:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  478 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  479 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  480 |             QuadratureKronrod<Scalar>::weightsGaussKronrod61, QuadratureKronrod<Scalar>::weightsGauss61,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  481 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 35, 1, 0, 35, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 36, 1, 0, 36, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:484:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  484 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  485 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |             QuadratureKronrod<Scalar>::weightsGaussKronrod71, QuadratureKronrod<Scalar>::weightsGauss71,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  487 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   90 |         m_theta = m_y.col(loc).squaredNorm() / ys;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
sartincomplet.cpp:114:48:   required from here
  114 |   double dist((((Eyst - Ey)/Ey).abs()).maxCoeff());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  323 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
      |                                   ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                               ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                         ~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  323 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
      |                                   ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:324:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  324 |       Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
      |                                   ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  325 |       Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                               ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                         ~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   45 |   VectorBlock<Derived, internal::decrement_size<Base::SizeAtCompileTime>::ret> essentialPart(derived(), 1, size()-1);
      |                                                                                ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  127 |     Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
      |                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:161:56:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  161 |             if (vecs.dot(vecy) > eps * vecy.squaredNorm())
      |                                        ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:110:68:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  110 |             m_permMinv.block(m_m + loc, m_m, 1, m_ncorr).noalias() = Ss.transpose();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:121:60:   required from here
  121 |     GEy.segment(n1, nm) = G[m] * Ey.segment(n1, nm).matrix();
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:158:46:   required from here
  158 |       meff2dir.col(k) = Phi*beta(indexmarg(k));
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  328 |       if (k>0) x -= A10.squaredNorm();
      |                     ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  328 |       if (k>0) x -= A10.squaredNorm();
      |                     ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:546:46:   required from here
  546 |     Eigen::VectorXd beta(thetat.segment(1, K));
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  567 |           m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 40, 1, 0, 40, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 41, 1, 0, 41, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:490:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  490 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  491 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  492 |             QuadratureKronrod<Scalar>::weightsGaussKronrod81, QuadratureKronrod<Scalar>::weightsGauss81,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  493 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 45, 1, 0, 45, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 46, 1, 0, 46, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:496:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  496 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  497 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  498 |             QuadratureKronrod<Scalar>::weightsGaussKronrod91, QuadratureKronrod<Scalar>::weightsGauss91,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 50, 1, 0, 50, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 51, 1, 0, 51, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:502:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  502 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  503 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |             QuadratureKronrod<Scalar>::weightsGaussKronrod101, QuadratureKronrod<Scalar>::weightsGauss101,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 60, 1, 0, 60, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 61, 1, 0, 61, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:508:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  508 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  509 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  510 |             QuadratureKronrod<Scalar>::weightsGaussKronrod121, QuadratureKronrod<Scalar>::weightsGauss121,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  511 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 100, 1, 0, 100, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Array<double, 101, 1, 0, 101, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:579:85:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrodHelper(Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numKronrodRows, 1, alignment, numKronrodRows, 1>, Eigen::Array<Scalar_, numGaussRows, 1, alignment, numGaussRows, 1>, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]'
  579 |         resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:514:41:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  514 |           return quadratureKronrodHelper(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^
  515 |             QuadratureKronrod<Scalar>::abscissaeGaussKronrod201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  516 |             QuadratureKronrod<Scalar>::weightsGaussKronrod201, QuadratureKronrod<Scalar>::weightsGauss201,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |             f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/Integrator.h:116:44:   required from 'Numer::Integrator<Scalar_>::Scalar Numer::Integrator<Scalar_>::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]'
  116 |         Scalar integral = quadratureKronrod(
      |                           ~~~~~~~~~~~~~~~~~^
  117 |           f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/integration/wrapper.h:83:46:   required from here
   83 |         double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:123:35:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  123 |             Scalar dg = m_grad.dot(m_drt);
      |                         ~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   90 |         m_theta = m_y.col(loc).squaredNorm() / ys;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  217 |       SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
      |                                                        ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  231 |     gebp_kernel<Scalar, Scalar, Index, LhsMapper, Traits::mr, Traits::nr, false, Conjugate> gebp_kernel;
      |                                                                                             ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  231 |     gebp_kernel<Scalar, Scalar, Index, LhsMapper, Traits::mr, Traits::nr, false, Conjugate> gebp_kernel;
      |                                                                                             ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  232 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                          ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, true>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  233 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
      |                                                                                     ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]'
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  374 |   this->visit(maxVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  501 |       return maxCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  521 |     RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:87:43:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
   87 |         const Scalar ys = m_s.col(loc).dot(m_y.col(loc));
      |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:64:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]'
  333 |             MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  416 |                 m_info = gaussian_elimination_1x1(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:28:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  362 |         X.col(0).noalias() = l1 * e11 + l2 * e21;
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 2>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:64:   required from 'int LBFGSpp::BKLDLT<Scalar>::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]'
  368 |             MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26:   required from 'void LBFGSpp::BKLDLT<Scalar>::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  420 |                 m_info = gaussian_elimination_2x2(k);
      |                          ^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  142 |             m_permMsolver.compute(m_permMinv);
      |             ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:162:40:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |             m_alpha[j] = m_s.col(j).dot(res) / m_ys[j];
      |                          ~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:165:28:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  165 |             m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  328 |       if (k>0) x -= A10.squaredNorm();
      |                     ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  289 |               gebp_kernel(lhs.getSubMapper(i2,absolute_j2),
      |               ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  290 |                           blockA, blockB+j2*actual_kc,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  291 |                           actual_mc, panelLength, actualPanelWidth,
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  292 |                           Scalar(-1),
      |                           ~~~~~~~~~~~
  293 |                           actual_kc, actual_kc, // strides
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  294 |                           panelOffset, panelOffset); // offsets
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  319 |             pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  320 |                            actualPanelWidth, actual_mc,
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  321 |                            actual_kc, j2);
      |                            ~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  365 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  365 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  511 |   RealScalar threshold_helper =  numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows);
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29:   required from 'static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Array<double, -1, 1>; OtherXpr = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; ProductType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::add_assign_op<double, double>]'
  224 |     call_assignment_no_alias(dst, src.rhs(), Func2());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:140:48:   required from here
  140 |   Eigen::ArrayXd ZtLambda(lambda * Gye + X*beta);
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29:   required from 'static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Array<double, -1, 1>; OtherXpr = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; ProductType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::add_assign_op<double, double>]'
  224 |     call_assignment_no_alias(dst, src.rhs(), Func2());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:140:48:   required from here
  140 |   Eigen::ArrayXd ZtLambda(lambda * Gye + X*beta);
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  333 |       if (rs>0) A21 /= x;
      |                 ~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  333 |       if (rs>0) A21 /= x;
      |                 ~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  365 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  567 |           m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:121:60:   required from here
  121 |     GEy.segment(n1, nm) = G[m] * Ey.segment(n1, nm).matrix();
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29:   required from 'static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Array<double, -1, 1>; OtherXpr = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; ProductType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::add_assign_op<double, double>]'
  224 |     call_assignment_no_alias(dst, src.rhs(), Func2());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:140:48:   required from here
  140 |   Eigen::ArrayXd ZtLambda(lambda * Gye + X*beta);
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, 2, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, 2, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:190:39:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index, Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long long int]'
  190 |     return packet<LoadMode,PacketType>(Direction==Vertical ? j : i);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:675:116:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index, Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
  675 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(row,col), m_src.template packet<LoadMode,PacketType>(row,col));
      |                                                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:689:48:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacketByOuterInner(Eigen::Index, Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
  689 |     assignPacket<StoreMode,LoadMode,PacketType>(row, col);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:572:86:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:638:63:   required from here
  638 |     Lmeffdir.col(booti)  = meffdir.colwise().mean().transpose();
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29:   required from 'static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Array<double, -1, 1>; OtherXpr = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; ProductType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::add_assign_op<double, double>]'
  224 |     call_assignment_no_alias(dst, src.rhs(), Func2());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:140:48:   required from here
  140 |   Eigen::ArrayXd ZtLambda(lambda * Gye + X*beta);
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29:   required from 'static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Array<double, -1, 1>; OtherXpr = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; ProductType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::add_assign_op<double, double>]'
  224 |     call_assignment_no_alias(dst, src.rhs(), Func2());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:140:48:   required from here
  140 |   Eigen::ArrayXd ZtLambda(lambda * Gye + X*beta);
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:121:60:   required from here
  121 |     GEy.segment(n1, nm) = G[m] * Ey.segment(n1, nm).matrix();
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1, 1, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1, 1, -1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1, 1, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/vector/Vector.h:523:46:   required from 'static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element__dispatch(Rcpp::traits::true_type, iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Transpose<Eigen::Array<double, -1, -1> > >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long long int]'
  523 |         replace_element__dispatch__isArgument( typename traits::same_type<U,Argument>(), it, names, index, u ) ;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from 'static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Transpose<Eigen::Array<double, -1, -1> > >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long long int]'
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/vector/Vector.h:1164:24:   required from 'static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&) [with T = Rcpp::traits::named_object<Eigen::Transpose<Eigen::Array<double, -1, -1> > >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]'
 1164 |         replace_element(it, names, index, t);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from 'static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Transpose<Eigen::Array<double, -1, -1, 0, -1, -1> > >}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]'
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from 'static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Transpose<Eigen::Array<double, -1, -1, 0, -1, -1> > >}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]'
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
sartincomplet.cpp:645:25:   required from here
  645 |     return  List::create(Named("direct") = Lmeffdir.transpose());
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29:   required from 'static void Eigen::internal::assignment_from_xpr_op_product<DstXprType, OtherXpr, ProductType, Func1, Func2>::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; InitialFunc = Eigen::internal::assign_op<double, double>; DstXprType = Eigen::Array<double, -1, 1>; OtherXpr = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; ProductType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func1 = Eigen::internal::assign_op<double, double>; Func2 = Eigen::internal::add_assign_op<double, double>]'
  224 |     call_assignment_no_alias(dst, src.rhs(), Func2());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:140:48:   required from here
  140 |   Eigen::ArrayXd ZtLambda(lambda * Gye + X*beta);
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; ResultType = double; Scalar = double]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
  104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
  141 |     return func(0,rows, 0,cols);
      |            ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Array<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:638:63:   required from here
  638 |     Lmeffdir.col(booti)  = meffdir.colwise().mean().transpose();
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:121:60:   required from here
  121 |     GEy.segment(n1, nm) = G[m] * Ey.segment(n1, nm).matrix();
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
sartincomplet.cpp:532:45:   required from here
  532 |     Eigen::LLT<Eigen::MatrixXd> llt(covparmt);
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20:   required from 'void LBFGSpp::BFGSMat<Scalar, LBFGSB>::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref<const Eigen::Matrix<double, -1, 1> >]'
  109 |             Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc);
      |                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/LBFGS.h:162:38:   required from 'int LBFGSpp::LBFGSSolver<Scalar, LineSearch>::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix<double, -1, 1>]'
  162 |                 m_bfgs.add_correction(vecs, vecy);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppNumerical/include/optimization/wrapper.h:57:24:   required from here
   57 |         solver.minimize(fun, xx, fx_opt);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:616:87:   required from here
  616 |               X0.block(n1, indexGX(k), nm, 1) = Gcontm * X0.block(n1, indexX(k), nm, 1);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Array<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:638:63:   required from here
  638 |     Lmeffdir.col(booti)  = meffdir.colwise().mean().transpose();
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10:   required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  669 |   return ColPivHouseholderQR<PlainObject>(eval());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:67:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
sartincomplet.cpp:529:63:   required from here
  529 |     Eigen::MatrixXd covparmt(Rmat * covparm * Rmat.transpose());
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
  155 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:603:20:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, -1>; DstType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  601 |   m_qr.topLeftCorner(nonzero_pivots, nonzero_pivots)
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  602 |       .template triangularView<Upper>()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  603 |       .solveInPlace(c.topRows(nonzero_pivots));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:127:28:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:534:102:   required from here
  534 |     simthetat.block(0, 1, nparms, boot) = (llt.matrixL() * simNorm).array().colwise() + THETAT.array();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                              ~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]'
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 42 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::ArrayWrapper<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
sartincomplet.cpp:599:102:   required from here
  599 |             meff2tot.block(n1, k, nm, 1) =  (A.colPivHouseholderQr().solve(B)).array().rowwise().sum();
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:341:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type 'const double*' to 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]' declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -shared -s -static-libgcc -o CDatanet.dll tmp.def RcppExports.o auxfunc.o cdnet.o homophily.o sar.o sartcomplet.o sartincomplet.o -fopenmp -LD:/RCompile/recent/R/bin/x64 -lRlapack -LD:/RCompile/recent/R/bin/x64 -lRblas -lgfortran -lquadmath -Ld:/rtools45/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools45/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
installing to d:/RCompile/CRANincoming/R-devel/lib/00LOCK-CDatanet/00new/CDatanet/libs/x64
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (CDatanet)